The CARE Guidelines and Ayurveda: What Good Case Reporting Requires, and What Ours Are Missing

Ayurveda Unfiltered

Dr. Aakash Kembhavi

*MD (Ayu-Shalya), PGDMLS, MS (Counseling & Psychotherapy) Academician, Clinician & Researcher Chief Editor, International Journal of Ayurveda*

Disclaimer: The views expressed in this article are the author’s personal opinions and do not represent the position of any institution or organisation the author is affiliated with. This article is intended for academic and scholarly discussion only and does not constitute medical advice. This article was developed in collaboration with AI tools for research, structuring, and drafting; the underlying idea and the final views and conclusions expressed remain entirely the author’s own.

Case reports occupy a peculiar place in medical publishing.

They are simultaneously the lowest rung on most evidence hierarchies and, for a personalised system like Ayurveda, potentially one of the richest sources of clinically meaningful data we have.

Whether that potential is realised depends almost entirely on how well a case is reported — which is what the CARE guidelines exist to standardise. T

his article lays out what CARE actually asks for, what a good CARE-compliant publication looks like, where Ayurveda’s own case-report literature currently stands against that standard, and what a genuinely Ayurveda-adapted version of CARE would need to contain.

What the CARE Guidelines Are

CARE stands for CAse REport.

The guidelines emerged from a consensus process convened between 2011 and 2013 by a group of clinicians, researchers, and journal editors, led by Joel Gagnier and colleagues, and were first presented at the 2013 International Congress on Peer Review and Biomedical Publication.

The stated rationale was straightforward: well-written, transparent case reports can reveal early signals of benefit and harm, feed into the design of clinical research and guidelines, and inform medical education — but only if they are reported completely and consistently enough to be compared, aggregated, and trusted.

Before CARE, case reports were the one major publication type in medicine without a dedicated reporting standard, even as CONSORT had already standardised randomised trials and STROBE had done the same for observational studies. CARE closed that gap.

It has since been endorsed by a large number of biomedical journals worldwide, translated into multiple languages, and is now the default expectation — explicit or implicit — wherever a case report is submitted for publication, including in the Ayurveda journal space.

The CARE Checklist, Item by Item — and Where Ayurveda Papers Fall Short on Each

The CARE checklist sets out thirteen core reporting domains, several of which contain multiple sub-items. Together they specify not what a physician should conclude from a case, but what information a reader needs in order to judge that conclusion for themselves.

Ayurveda’s engagement with the checklist has improved markedly over the last several years — the days of case reports with no structured format at all are largely behind us.

But engagement is uneven across items, and it is worth going through each one to see precisely where the shortfall sits, rather than treating “Ayurveda case reports” as a single undifferentiated problem.

1. Title

CARE requires that the words “case report” appear in the title, along with a clear indication of the area of clinical focus — the condition, intervention, or outcome that makes the case worth finding.

This is the item most often assumed to be trivially satisfied, and it is also, on closer reading, one of the weaker points in Ayurveda’s published case-report literature, for several distinct reasons.

First, a substantial share of Ayurveda case-report titles name only the classical Sanskrit condition — Kitibha, Vicharchika, Grahani — without the corresponding contemporary clinical correlate (psoriasis, eczema, irritable bowel-type presentation) appearing anywhere in the title. This is not a cosmetic issue. It directly damages discoverability: a clinician or researcher searching biomedical databases by the modern disease term will never surface the paper, which defeats one of CARE’s stated purposes — that case reports aggregate into a body of retrievable, comparable evidence. A title is not just a label; it is the paper’s primary indexing surface, and an Ayurveda-only title effectively removes the paper from cross-disciplinary visibility.

Second, a recurring pattern runs the opposite risk: titles that assert the outcome before the report has even begun — “Effective Management of Kitibha through Panchatiktaka Ghrita,” or “Successful Ayurvedic Intervention in a Case of Chronic Sinusitis.” CARE’s intent for the title is descriptive, not evaluative — it should identify the area of focus, not pre-announce a favourable verdict. A title that leads with “effective” or “successful” builds outcome bias into the paper before the diagnostic assessment or intervention has even been described, and it signals to a reviewer that the report may be constructed to justify a conclusion rather than to document a process.

Third, some titles go too far in the other direction and are simply under-specified — “A Case Report on a Skin Disorder” or “Ayurvedic Management of a Vata Disorder” — naming neither a specific condition nor a specific intervention. This satisfies the literal instruction to include “case report” while failing the underlying purpose of the item, which is to let a reader identify, from the title alone, whether the paper is relevant to what they are looking for.

2. Key Words

CARE asks for two to five key words that identify the areas covered, including “case report” itself. The Ayurveda-specific gap here mirrors the title problem: key words are frequently supplied only in Sanskrit or classical terminology, with no MeSH-mapped biomedical equivalent alongside them. A paper indexed only under “Kitibha” and “Shodhana” is functionally invisible to a PubMed search run in ordinary clinical vocabulary, which quietly defeats the purpose of indexing altogether.

3. Abstract

The abstract has four expected components: what is unique about the case, the main symptoms and findings, the diagnoses/interventions/outcomes, and a concluding message. The recurring weakness in Ayurveda abstracts sits in the first of these — the novelty statement. Phrases such as “a rare case successfully managed through Ayurveda” are common, but rarity and success are assertions, not information; they do not tell a reader what specific gap in the existing literature this case addresses, or why this particular presentation was worth writing up at all. A good novelty statement names a specific prior absence — an atypical presentation, an unusual combination therapy, a documented decision point — rather than asserting general interest.

4. Introduction

CARE expects brief background on the condition and an explicit case for why this particular case merits reporting. Ayurveda case reports usually handle the background portion adequately, since it draws on well-rehearsed classical description. The “why this case” justification is weaker, and for the same reason as the abstract’s novelty statement — it is frequently asserted rather than argued, without engaging the existing literature closely enough to show that a genuine gap exists.

5. Patient Information

This item covers de-identified demographic and relevant social or historical detail, along with the patient’s own presenting concerns. Ayurveda case reports are generally strong here, since classical history-taking (including Prakriti, Agni, and lifestyle factors) is naturally thorough. The gap is less about presence and more about downstream use: this rich baseline information is often recorded and then never referred to again when the therapeutic decision is explained — it sits in the report as background colour rather than functioning as part of the reasoning that follows.

6. Clinical Findings

CARE asks for the relevant findings from examination and assessment. Ayurveda papers typically report the classical Nidana Panchaka (five-fold diagnostic assessment) in reasonable detail, but frequently as a standalone classical checklist that runs parallel to, rather than integrated with, whatever biomedical clinical findings are also reported — vitals, laboratory values, imaging. The two systems of findings sit side by side without being read together, which is the same integration problem that recurs, more seriously, at the diagnostic-assessment stage below.

7. Timeline

CARE calls for a chronological account of the illness and care, often rendered visually, so that sequence and cause are traceable at a glance.

This is one of the more consistently under-executed items in Ayurveda case reports, particularly for Panchakarma-based interventions that unfold over multiple weeks with distinct phases (Purvakarma, Pradhanakarma, Paschatkarma) and periodic reassessment.

A narrative paragraph is frequently offered in place of an actual timeline figure or table, which makes it harder for a reader to see when a modification was made, when an outcome was assessed, and whether enough time had elapsed for the observed change to be attributable to the intervention rather than the natural course of the condition.

8. Diagnostic Assessment

This is the checklist’s most consequential item for Ayurveda, and its weakest point in practice.

CARE asks for the diagnostic methods used, the diagnostic reasoning including alternative diagnoses considered, diagnostic challenges, and prognostic factors.

An Ayurvedic physician typically arrives at a treatment decision through an assessment of dosha, dushya, srotas, and desha-kala-bala factors, layered against a named biomedical diagnosis.

In practice, published case reports frequently present the biomedical diagnostic label and the classical Ayurvedic diagnosis as two parallel headings, without showing how the two were reconciled, or how the specific therapeutic choice actually followed from that reconciliation.

Alternative diagnoses — the differential reasoning CARE explicitly asks for — are rarely discussed at all. The clinical reasoning that genuinely produced the prescription, arguably the single most valuable thing an Ayurveda case report has to offer a reader, is the part most often left out entirely.

9. Therapeutic Intervention

CARE asks for the type of intervention and the precise detail of its administration — dosage, strength, duration, technique.

Dosage and duration are usually reported with reasonable precision in Ayurveda papers; the deficiency sits one level up, in the rationale for the choice itself.

Classical Ayurveda contains extensive, legitimate cross-use of therapeutics across syndromically related conditions — many formulations are classically indicated across a cluster of conditions rather than a single named disease.

Case reports drawing on this feature rarely make the justification for the specific reuse explicit: the therapeutic choice is stated and the outcome reported, but the reasoning link between them is asserted rather than argued.

Without that argument, a reader cannot tell a principled application of an established therapeutic rationale apart from an incidental favourable outcome that has simply been generalised after the fact — yadrichhika siddhi, in the classical vocabulary.

A second, smaller gap: citations to classical justification for a formulation’s use (“indicated in Charaka Samhita”) are frequently offered without a verse or chapter reference precise enough for another author to verify.

10. Follow-up and Outcomes

This item expects a clear account of how outcomes were assessed, the results including any adverse or unanticipated events, and the patient’s compliance and satisfaction.

Ayurveda case reports commonly report subjective improvement (reduction in symptom severity, patient-reported relief) without a standardised or validated outcome measure attached, which makes the improvement hard to compare across cases or replicate as evidence.

Adverse events are the more striking gap: a large share of published reports simply omit this sub-item altogether, rather than explicitly stating that no adverse events were observed.

The absence of a statement reads, to a careful reader, as an absence of monitoring rather than an absence of events, which is a credibility cost the paper did not need to take on.

11. Discussion

CARE expects the discussion to cover the strengths and limitations of the approach, engagement with the relevant literature, the scientific rationale for the conclusions drawn, and the primary lessons from the case.

This is where the diagnostic-assessment gap resurfaces in a second form.

In a substantial share of published Ayurveda case reports, the “scientific rationale” requested by CARE is supplied almost entirely in borrowed biomedical terms — a paragraph attributing the outcome to the “anti-inflammatory,” “antioxidant,” or “immunomodulatory” activity of the formulation used, cited from pharmacological studies of individual constituent herbs that were never actually about this clinical context.

This satisfies the checklist item in form. It does not satisfy it in substance, because it explains nothing about the Ayurvedic clinical reasoning that led to the prescription in the first place; it substitutes one evidentiary system’s vocabulary for an explanation the paper never actually offers in its own terms.

Limitations, similarly, are frequently reduced to a boilerplate line about single-case generalisability rather than an honest discussion of the specific confounds present in that case.

12. Patient Perspective

CARE asks, wherever possible, for the patient’s own account of the experience and outcome, in their own words. This item is inconsistently applied across Ayurveda case reports — present in some, absent in many — and where present, it is often paraphrased into clinical language by the author rather than quoted or closely reported, which defeats the purpose of including an independent patient voice alongside the clinician’s account.

CARE requires a statement that the patient, or their legal representative, provided informed consent for publication. This item is now handled reasonably consistently in Ayurveda journals, largely because most journals will not process a submission without it — it is one of the few items where editorial enforcement, rather than authorial habit, has done the work of compliance.

What a Good-Quality CARE Publication Expects

Meeting the checklist item by item is necessary but not, by itself, sufficient for a high-quality case report. A publication that genuinely honours the intent behind CARE, rather than merely completing its form, tends to show several further qualities:

  • Traceable reasoning, not just recorded facts — the diagnostic assessment section should show the reasoning process, including diagnoses that were considered and excluded, not simply announce a final label.
  • A stated, defensible rationale for the intervention chosen — the discussion should explain why this treatment, among plausible alternatives, was selected for this patient, rather than only describing what was done.
  • Honest handling of uncertainty — confounding factors, alternative explanations for improvement, and the limits of causal inference from a single case are acknowledged rather than glossed over.
  • A genuine claim to novelty or educational value — the introduction earns its place by identifying what specifically is new, unusual, or instructive about the case, not by asserting novelty in general terms.
  • Complete, verifiable detail on the intervention — dosage, duration, technique, and any modifications are specific enough that another clinician could, in principle, reproduce the approach.
  • Consistency between abstract, body, and conclusion — the take-home message follows from what was actually reported, rather than overreaching beyond the evidence of a single case.

Common Fallacies in Published Ayurveda Case Reports and Papers

Beyond checklist gaps, a closer reading of the published literature surfaces a recurring set of reasoning errors — the kind classical Nyaya would have classified as hetvabhasa, fallacies of reasoning, even though the tradition that named them is rarely invoked when they occur in practice.

None of these are unique to Ayurveda; they recur across weak biomedical case-report literature too.

What is specific to Ayurveda is how consistently they cluster, and how directly several of them trace back to the same missing infrastructure discussed below — without validated assessment tools or population baselines, an author has little choice but to reason informally, and informal reasoning is where fallacies live.

Post Hoc Ergo Propter Hoc (“After this, therefore because of this”)

Improvement following a course of treatment is treated as proof that the treatment caused the improvement, without engaging the competing explanations CARE’s discussion item exists to force into the open — natural remission, the fluctuating course of a chronic condition, or a placebo response.

A case report that reports improvement without at least naming these alternatives has not established a causal claim; it has recorded a sequence and called it a mechanism.

Anecdotal Evidence Presented as Demonstrated Principle

A single well-written patient narrative is generalised, in the discussion or conclusion, into language implying the therapeutic principle has been shown to work — “this confirms the efficacy of X in Y condition” — when a single case can, at most, suggest a hypothesis worth testing at scale.

The fallacy sits less in reporting the case than in overreaching in the conclusion drawn from it.

Selective Reporting and Survivorship Bias

Case reports overwhelmingly document successes; non-responders, complications, and cases where a classically indicated therapy failed to produce the expected result are rarely written up at all.

This is not usually dishonesty on any individual author’s part — journals are more receptive to positive outcomes, and there is little professional incentive to publish a failure — but the cumulative effect is a published record quietly and systematically distorted toward success, which is precisely the kind of distortion the honest-outcome-reporting item proposed later in this piece is designed to correct.

Regression to the Mean

Many conditions documented in Ayurveda case reports — chronic dermatological flares, cyclical pain conditions, seasonal respiratory complaints — fluctuate naturally, and patients most often present for treatment during a bad flare, which is statistically also the point most likely to be followed by spontaneous improvement regardless of intervention.

Case reports very rarely consider, let alone rule out, this possibility before attributing the improvement to the treatment given.

Equivocation Between Classical and Biomedical Terms

Terms such as Vata imbalance and autonomic dysfunction, or dosha and gene expression, are used interchangeably across a paper without argument, allowing the reader to assume an established correspondence that has never actually been demonstrated.

This is the same conceptual slippage that produces the “anti-inflammatory” discussion paragraphs discussed earlier — substituting a biomedical-sounding term for genuine translation work between two distinct frameworks.

Appeal to Antiquity

A therapeutic claim is treated as validated because it appears in a classical source — “documented in Charaka Samhita” offered as though textual antiquity itself constitutes clinical evidence, rather than as the starting point for a claim that still needs to be tested against a contemporary patient population.

This fallacy connects directly to the baseline-data problem discussed in the next section: without population parameters against which to test a classical claim, appeal to antiquity becomes the default because there is often, quite literally, nothing else available to appeal to.

Special Pleading

Ayurveda’s personalised and holistic character is invoked to explain why ordinary methodological requirements — a comparator, a standardised outcome measure, blinding where feasible — should not apply to this case or this condition, without the report offering any coherent alternative standard by which its own claim could be evaluated.

Personalisation is a genuine and defensible feature of the system, discussed at length earlier in this piece; it becomes special pleading only when it is used to excuse a paper from any standard of evaluation at all, rather than to justify a different, equally rigorous one.

The Texas Sharpshooter Pattern

Where several symptoms or parameters were tracked, the discussion highlights whichever one improved most, while parameters that showed little or no change are quietly omitted from the outcomes reported.

This produces an outcome picture that looks stronger than the full data would support, and it is very difficult for a reader to detect unless the report states, up front, exactly which parameters were tracked from the start — which is itself an argument for pre-specifying outcome measures even within a single case report.

Introducing the Pramana Lens: Reading Ayurveda Publications Against Their Own Standard

To examine the pattern set out above systematically rather than anecdotally, I developed the Pramana Lens — a six-lens review framework built to sit alongside standard checklists such as CARE and interrogate a paper on a dimension those checklists do not cover: whether the paper’s Ayurvedic reasoning is actually present, coherent, and traceable, rather than merely asserted.

Where CARE asks whether the required information is present, the Pramana Lens asks a further question — is the reasoning connecting that information logically sound by Ayurveda’s own epistemological standards, drawing on classical categories such as Pramana and Yukti, rather than only by the standards of an imported biomedical framework.

I have been using this framework to read a growing set of published Ayurveda case reports and clinical papers, checking each against both the CARE checklist and the Pramana Lens together, largely as an ongoing personal analysis rather than, so far, a formally published dataset.

Two findings from that reading are worth stating beyond the item-by-item picture above:

  • first, the gap is not evenly distributed across journals and does not track neatly with a journal’s general editorial rigour — it appears more strongly linked to how an author was trained to write than to how strictly a given journal enforces the checklist.
  • second, where a rationale is offered in place of missing Ayurvedic reasoning, it is disproportionately biomedical-mechanistic rather than framed in the discipline’s own clinical logic, which suggests authors reach for a borrowed vocabulary because articulating the Ayurvedic reasoning explicitly was never something their training required of them.

This finding matters most for where the solution has to be aimed. It is consistent with what I have argued at length in Synopsis Writing, Synopsis Under Scrutiny, and Research Methodology and Bio-Statistics for PG Scholars — that the deficiency in Ayurveda research writing is substantially pedagogical, formed well before a manuscript ever reaches a journal, and that fixing it at the checklist-compliance stage alone will not resolve it.

Why Ayurveda Must Start with Case Reports — and Why Building the Evidence Hierarchy From There Is Not a Short Journey

It is worth stating plainly why so much of this piece has been devoted to case reports rather than to trials, given that case reports sit at the base of every standard evidence hierarchy and are routinely, and not unfairly, described as the weakest form of clinical evidence.

The honest reason is that case reports are the correct starting point for a system like Ayurveda, precisely because they are the only publication format in which individualised, patient-specific reasoning — the feature that makes Ayurveda distinct in the first place — can be documented in full.

A well-constructed case report, built on an Ayurveda-adapted CARE of the kind proposed above, is not a lesser substitute for real evidence; it is the first legitimate rung of it, generating the hypotheses, describing the patient phenotypes, and flagging the therapeutic signals that every higher rung of the hierarchy depends on being available in the first place.

The standard evidence hierarchy moves from case report, to case series aggregating several similar cases, to controlled observational studies, to single-centre randomised trials, to multi-centric randomised trials, to systematic review and meta-analysis, and finally to clinical practice guidelines built on that accumulated body of work.

Each rung exists to answer a question the rung below it cannot answer on its own. A case report can suggest that a therapy plausibly helped one patient; only a case series can suggest the finding recurs; only a controlled study can rule out that the recurrence is coincidence, natural history, or placebo response; and only a multi-centric trial can show that the effect holds up outside the hands, judgement, and diagnostic style of the single physician who happened to write the original case report.

This last point deserves emphasis, because it is where Ayurveda’s evidence-building effort most needs to go next.

Multi-centric trials, run on validated and standardised assessment parameters across every participating site, matter precisely because a single-institution study cannot separate the effect of the intervention from the effect of the individual physician administering it — their particular reading of Prakriti, their particular clinical judgement, their particular relationship with the patient.

Only when the same protocol, using the same validated outcome tools, produces comparable results across multiple independent centres does a therapeutic claim stop being one skilled clinician’s demonstrated result and start becoming generalisable evidence.

Ayurveda currently has very few trials of this kind, and building the capacity to run them — shared protocols, shared ethics infrastructure, shared statistical planning, and above all shared, validated assessment instruments — has to be treated as a deliberate, resourced undertaking rather than an eventual by-product of publishing more case reports.

The Missing Baseline: Ayurveda Does Not Yet Know Its Own Population Parameters

Every rung of this hierarchy above the case report depends on a resource Ayurveda has not yet built: population-level baseline data for its own core clinical constructs.

Modern biomedicine can judge a blood pressure reading, a haemoglobin value, or a fasting glucose level as normal or abnormal because those parameters have been measured in tens of thousands of people, stratified by age, sex, and region, and refined over decades into reference ranges everyone in the field accepts.

Ayurveda has no equivalent for Prakriti distribution in the general population, no standardised and normed instrument for quantifying dosha balance, no validated reference range for Agni assessment, no objectively measured and normed Nadi Pariksha data, and no validated tool for Srotas or Bala assessment.

Existing instruments for these constructs vary from author to author, have rarely been tested for reliability or validity, and have almost never been applied at a scale large enough to establish what a normal range even looks like.

This is not a minor gap in an otherwise sound research programme; it is a foundational one, and it corrupts the analysis built on top of it in ways that go well beyond case reports.

Without a known population distribution for a given construct, a researcher cannot verify whether that construct is even approximately normally distributed — an assumption that underlies most of the standard parametric statistical tests routinely applied in published Ayurveda research.

Without a reference range, an author cannot say with any rigour whether a given patient’s Agni or dosha reading before treatment was unusually abnormal or well within ordinary variation, which means the entire premise of “improvement” being measured against a meaningful baseline is left standing on an assumption rather than a measurement.

This is the deficiency behind the appeal-to-antiquity fallacy described above: when there is no population baseline to test a classical claim against, citing the classical source becomes the only available move, not because authors are being lazy, but because the alternative — an actual normative dataset — largely does not exist yet.

How Modern Medicine Actually Built Its Evidence Base

It is worth remembering how recently biomedicine itself was in a position methodologically similar to where Ayurveda stands today.

In the mid-nineteenth century, clinical medicine was not run on population parameters, controlled trials, or validated instruments either; it was run on tradition, individual clinical authority, and theoretical frameworks such as humoral theory that had not been empirically tested at scale.

Bloodletting remained standard practice for centuries, defended by respected physicians, taught to students as established knowledge, and “worked” in the sense that practitioners believed it did and patients sometimes recovered regardless.

What changed biomedicine’s evidentiary status was not a single discovery or a change in belief; it was a sustained, expensive, multi-generational construction project — standardised diagnostic criteria, population reference ranges built from measuring enormous numbers of people over decades, controlled trial methodology developed and refined from the eighteenth century onward, disease registries, and eventually systematic review and meta-analysis methods to synthesise the resulting body of studies. That infrastructure took the better part of a century and a half to build, and it was built deliberately, field by field, not as an incidental result of clinicians simply writing up more of their individual cases.

**The lesson for Ayurveda is not a comfortable one, but it is an honest one: **this is not a short or easy journey, and there is no shortcut that skips the infrastructure-building stage.

A well-reported case report literature, of the kind an Ayurveda-adapted CARE would produce, is the necessary and correct starting point — it is where hypotheses, patient phenotypes, and therapeutic signals worth testing further first get documented clearly enough to be acted on.

But the field cannot stop there, and cannot leap from case reports directly to multi-centric trials either, without first doing the unglamorous work in between: developing and validating assessment instruments for its core constructs, running the large population studies needed to establish normative baselines, and only then designing controlled and eventually multi-centric studies that can actually be analysed with statistical rigour, because the parameters those analyses depend on will, for the first time, actually exist.

Attempting multi-centric trials before this groundwork is laid would not accelerate the process; it would simply repeat, at far greater cost and with far more institutional credibility at stake, the same absence of baseline data and validated measurement that already undermines the case-report and pilot-study literature discussed throughout this piece.

What an Ayurveda-Adapted CARE Guideline Should Contain, Alongside the Standard CARE Checklist

None of this argues for discarding CARE.

Every item on the existing checklist remains necessary; a case report missing patient information, a timeline, or a statement of informed consent is deficient regardless of how sophisticated its Ayurvedic reasoning might be.

What is needed is an addition, not a replacement — an Ayurveda-specific extension of the kind CONSORT and other guideline families have already accepted for Traditional Chinese Medicine and for Unani practice. Modelled on that precedent, an Ayurveda CARE extension should require the following as distinct, reportable items in their own right, not as optional discussion left to an author’s discretion.

1. An integrated dosha-dushya-srotas-desha-kala-bala assessment, reconciled with the biomedical diagnosis

This means the classical assessment should not appear as a second, parallel heading alongside the biomedical diagnosis, disconnected from it. It should be reported as a bridge: how the vitiated dosha and dushya were identified, which srotas were judged to be involved, and how desha (place/environment), kala (season and chronicity), and bala (the patient’s strength) modified that reading — all stated in a way that shows, explicitly, how this classical picture relates to and informs the corresponding biomedical diagnosis, rather than simply sitting next to it. This is the single change that would do the most to make the diagnostic-assessment item, as discussed above, actually functional for Ayurveda.

2. An explicitly named chikitsa sutra

This means the classical therapeutic principle that actually guided the treatment logic — for instance, a rule governing sequencing (srotoshodhana before brimhana), or a principle of opposite-quality correction (vishagna or specific dosha-pacifying logic) — should be stated by name and referenced to its classical source (samhita, chapter, and verse), rather than left implicit in the choice of formulation. Naming the sutra converts an intuitive clinical decision into a reviewable claim: a reader, and a future author working on a similar case, can check whether the sutra was applied correctly, whether it is the most relevant one available, and whether the outcome supports or complicates it. This is the functional equivalent, in Ayurveda’s own terms, of stating a testable hypothesis before describing what was done to test it.

3. An explicit rationale for the specific therapeutic choice among available alternatives

This means that wherever a condition or a syndromic cluster has more than one classically indicated therapeutic option — which is the common case, not the exception — the report should state why this particular option was chosen for this particular patient. The rationale should draw on patient-specific factors already collected under patient information: Agni (digestive capacity), Bala (strength), Satmya (habituation/suitability), and any contraindications. Making this explicit is what allows a reader to distinguish a reasoned, individualised choice from a default or habitual one, and it is the direct answer to the yadrichhika siddhi concern raised earlier — a therapeutic reuse across a syndromic cluster stops being an unexamined coincidence the moment the reasoning for it, in this specific patient, is written down.

4. Documentation of how the individual presentation shaped protocol modification

This means that any departure from a standard classical dose, sequence, or duration — a reduced sneha dose because of low Agni, an extended treatment period because of chronicity, a substituted anupana because of a contraindication — should be reported as a distinct item, together with the specific patient factor that justified the departure. Ayurveda’s central claim to distinction is personalised treatment; at present that claim is made rhetorically far more often than it is demonstrated in print. This item is where the personalisation claim would actually be substantiated with evidence, case by case, rather than asserted as a general feature of the system.

5. An honest account of whether the outcome confirmed, complicated, or contradicted the sutra applied

This means the discussion section should state plainly whether the observed outcome matched what the stated chikitsa sutra predicted, and, where it did not fully match, say so rather than reframe the result to fit the expectation. A case where the outcome partially contradicts the principle applied is not a failed case report — reported honestly, it is more informative than another confirmatory success story, because it tells the field something about the limits of the principle’s applicability. Requiring this item is what would let individual case reports accumulate, over time, into something closer to a genuine evidence base for specific chikitsa sutras, rather than remaining a collection of undifferentiated success narratives that cannot be compared or built upon.

Building and proposing such an extension is a concrete, achievable piece of work rather than an abstract grievance about methodology. It would give Ayurveda case reports a structure that can be judged rigorously on the discipline’s own epistemic terms, instead of the two unsatisfactory alternatives currently on offer — bending awkwardly into a biomedical template that erases the reasoning that makes a case Ayurvedic in the first place, or resisting standardisation altogether under the claim that Ayurveda’s clinical reality is too complex to be documented at all. Neither alternative serves patients, students, or the field’s own claim to a coherent evidence base.

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