Field: Medicine
CONSORT/STROBE/STARD/SPIRIT, trial registration, effect measures (ARR, NNT, ITT), bias, COI disclosure.
A field overlay: it supplements, not replaces, the general
agent_docs. Read it before discipline-specific writing. It encodes the conventions and reviewer expectations of clinical journals so the agent does not write basic-science prose into an NEJM submission, applies the right reporting guideline, and never overstates a benefit a trial does not support.Activate it in
CLAUDE.project.md → Field overlay.
Venues & where content goes
| Venue family | Notes |
|---|---|
| Top general medical: NEJM, The Lancet, JAMA, BMJ | strict word/figure caps; structured abstract; ICMJE rules; trial registration + reporting-guideline compliance enforced at submission |
| Specialty: Circulation, J. Clin. Oncol., Annals of Internal Medicine, Diabetes Care | same standards; field-specific outcome conventions |
| Methods/evidence: Cochrane, J. Clin. Epidemiol. | systematic-review and methodology home; PRISMA central |
| Preprint: medRxiv | posting accepted by most journals; cite the published version once it exists |
- Main text vs supplement: the primary outcome analysis, the CONSORT/STROBE flow, and the key safety data go in the main text; the full protocol, statistical analysis plan (SAP), additional subgroups, and detailed adverse-event tables go to the supplementary appendix.
- Mandatory at submission: the reporting-guideline checklist, the trial-registration number, an ethics/IRB statement, and conflict-of-interest + funding disclosures. Editors desk-check these.
Reporting guidelines (match the study type — EQUATOR network)
The single cheapest way to not miss a required element; journals require the completed checklist (agent_docs/reproducibility.md).
| Guideline | For |
|---|---|
| CONSORT | randomized controlled trials (+ extensions: cluster, non-inferiority, pilot) |
| STROBE | observational studies (cohort, case-control, cross-sectional) |
| PRISMA 2020 | systematic reviews & meta-analyses (flow diagram + checklist) |
| STARD | diagnostic-accuracy studies |
| SPIRIT | clinical-trial protocols |
| TRIPOD | prediction-model development/validation |
| CARE | case reports |
These are checklists, not prose generators. Run the relevant one before submission; a missing item is a reviewer comment you can pre-empt.
Structure (IMRaD + structured abstract)
A typical layout: structured abstract → Introduction → Methods → Results → Discussion.
- Structured abstract: Background, Methods, Results, Conclusions (journal-specific headings); the primary outcome with its effect estimate and CI appears here and must match the body (verification step 4,
CLAUDE.md). - Methods name the design, registration, setting, eligibility, intervention/exposure, the prespecified primary outcome, sample-size calculation, randomization/blinding, and the analysis plan (ITT). Written to enable appraisal and repetition (
agent_docs/reproducibility.md). - Discussion opens with the principal findings, then comparison with prior evidence, limitations, and a calibrated clinical implication — not a recommendation the data do not support.
Trial registration (prospective — a hard gate)
ICMJE journals will not publish an unregistered trial.
- Register on ClinicalTrials.gov, ISRCTN, or a WHO-ICTRP primary registry before enrolling the first participant (prospective registration). State the registration number and date in the abstract and Methods.
- The registered primary outcome is binding. Report it as the primary outcome; any change from the registered/protocol outcome must be disclosed and justified. Switching the primary outcome to a "significant" secondary one is outcome-switching — a documented integrity problem reviewers and watchdogs check.
- The kit does not invent an NCT/ISRCTN number or registration date —
[VALUE — verify]if unknown, never a plausible-looking ID (CLAUDE.md → Source-Grounded Writing).
Ethics (state it explicitly)
- IRB / research-ethics-committee approval with the approving body and protocol number.
- Informed consent obtained (and the process for vulnerable populations / waivers).
- Conducted per the Declaration of Helsinki (and ICH-GCP for trials) — state it.
- The ethics statement is a dedicated Methods subsection; approval IDs follow the no-fabrication rule.
Effect measures (report clinically, not just p)
A p-value is not a result; clinicians need the size and precision of the effect (agent_docs/statistics.md).
| Report | Why |
|---|---|
| Absolute and relative effect | a "50% relative risk reduction" can be a 2%→1% absolute change. Report absolute risk reduction (ARR) alongside relative risk / RR / odds ratio / hazard ratio — relative-only framing overstates benefit |
| NNT / NNH | number-needed-to-treat / -to-harm makes the absolute effect interpretable at the bedside |
| Confidence intervals | the 95% CI on every estimate — not just p. The CI carries magnitude and precision |
| ITT vs per-protocol | intention-to-treat is the primary analysis for superiority RCTs (preserves randomization); per-protocol is secondary/supportive. Name which analysis each number comes from; for non-inferiority, report both |
| Time-to-event | hazard ratios with CIs + Kaplan–Meier; state the proportional-hazards assumption |
Do not report a relative risk reduction without its absolute counterpart, and do not call a result "significant" as a synonym for "large" (agent_docs/academic-style.md).
Bias & internal validity
- Randomization & allocation concealment: describe the sequence generation and that allocation was concealed (concealment ≠ blinding) — inadequate concealment exaggerates effects.
- Blinding: who was blinded (participants, clinicians, outcome assessors, analysts); if open-label, how outcome assessment was protected.
- Attrition & missing data: report dropout by arm and how missing data were handled (e.g. multiple imputation); differential attrition threatens validity.
- CONSORT flow diagram: enrollment → allocation → follow-up → analysis, with numbers and reasons for loss at each stage. Mandatory for RCTs; the numbers must reconcile with the text (verification step 4,
CLAUDE.md). - For observational designs, address confounding (adjustment, matching, sensitivity analyses) — and do not let adjustment masquerade as causal proof.
- Subgroups are prespecified or exploratory. A treatment effect in a subgroup is interpretable only if the subgroup was prespecified and tested with an interaction term; a post-hoc subgroup "win" is hypothesis-generating, not confirmatory (
agent_docs/statistics.md). State how many subgroups were examined. - Multiplicity: with multiple endpoints or interim analyses, report the alpha-spending or correction; do not present the one endpoint that crossed significance as if it stood alone.
Calibration in this field (overclaim → calibrated)
The verb/scope ladder of agent_docs/academic-style.md, applied to clinical writing:
| Overclaim | Why it fails | Calibrated |
|---|---|---|
| "Drug A reduces mortality by 50%." | relative-only; no absolute, no CI, no population | "Drug A reduced all-cause mortality from 8.0% to 4.2% over 12 months (ARR 3.8%, 95% CI 1.9–5.7; HR 0.52, 95% CI 0.38–0.71; NNT 26)." |
| "The treatment is safe and effective." | unbounded safety claim from a finite trial | "In this trial, the primary efficacy outcome favored treatment (above); serious adverse events occurred in 4.1% vs 3.8% (no significant difference at this sample size)." |
| "A secondary endpoint proves benefit on quality of life." | "proves" from a secondary/exploratory outcome | "An exploratory secondary outcome suggested a quality-of-life benefit (tab:x); this is hypothesis-generating and requires confirmation." |
Pattern: pair relative with absolute effects and CIs, scope to the trial population/outcome, and never call a secondary or subgroup result confirmatory.
Conflicts of interest, funding & data privacy
- COI + funding disclosure: all financial and non-financial conflicts and the funding source, with the funder's role in design/analysis/reporting (ICMJE form). Required, not optional.
- Patient-data privacy: de-identify; no identifying details/images without explicit consent for publication; comply with HIPAA/GDPR as applicable. Individual-participant-data sharing per a stated plan (ICMJE data-sharing statement).
- Trial data/SAP deposit where required; the deposit/registration identifiers are real —
[VALUE — verify]until they exist (block-fabrication.sh).
Evidence hierarchy & terminology
- Calibrate the claim to the design. Ascending strength: case report < case series < cross-sectional < case-control < cohort < RCT < systematic review/meta-analysis of RCTs. A single observational study does not license a treatment recommendation.
- One term per concept (
MANUSCRIPT_MAP.md → Terminology): do not alternate "adverse event" / "side effect" / "complication" if they are defined differently; fix "efficacy" (ideal conditions) vs "effectiveness" (real-world) and hold it. - Units & symbols per
agent_docs/statistics.md; brace-protect acronyms in BibTeX titles —{RCT},{COVID-19},{HbA1c}. - Citation style: Vancouver/ICMJE numbered references is the norm; cite the published trial report and its registration, and cite primary trials rather than reviews for a specific efficacy claim (
CLAUDE.md → Source-Grounded Writing). - Common knowledge for a clinical readership needs no citation; calibrate to the journal's audience.
- Outcome definitions are stated and held constant — a composite endpoint lists its components, and "response" / "remission" carry their prespecified thresholds, used identically throughout.
Typical reviewer concerns (pre-empt them)
| Concern | What it looks like | Pre-empt by |
|---|---|---|
| Not registered / outcome-switched | no NCT; primary outcome differs from registry | prospective registration; report the registered primary outcome, disclose changes |
| Relative-only effect | "50% reduction" without absolutes | report ARR + RR/HR with CIs; NNT |
| Bare p-values | "p < 0.05", no estimate | effect estimate + 95% CI for every comparison |
| Inadequate blinding/concealment | allocation/assessment unprotected | describe sequence generation, concealment, blinding |
| Attrition bias | unexplained dropout | CONSORT flow; dropout by arm; missing-data method |
| ITT not used | analysis excludes non-adherers | ITT as primary; per-protocol supportive |
| Underpowered / no SAP | no sample-size calc | a-priori power calculation; prespecified analysis plan |
| Undisclosed COI/funding | absent disclosure | full COI + funding + funder role |
| Causal overreach | observational study → "treatment X works" | associational language; recommendation matched to evidence level |
| Overclaim | "proves safe and effective" | calibrate to the trial's population/outcomes (agent_docs/academic-style.md) |
MANUSCRIPT_MAP.md additions for medical papers
Add to your map's Claims that need extra care:
- A statistically significant secondary or subgroup outcome is hypothesis-generating, not confirmatory — do not promote it to the headline finding.
- A relative effect without its absolute counterpart (and CI) overstates clinical benefit.
- Efficacy in a trial population does not establish effectiveness or safety in routine care or untested populations — scope the claim.
- An observational association does not license a causal or treatment-recommendation claim regardless of adjustment.
Add to Data & reproducibility: the reporting guideline in force (CONSORT / STROBE / PRISMA / STARD / SPIRIT), the trial-registration number and date (or [VALUE — verify]), the prespecified primary outcome and analysis (ITT), IRB approval + consent + Declaration of Helsinki, COI/funding disclosures, and the data-sharing statement.