Heart Journal Submission Guide
A source-checked guide to deciding whether a cardiovascular manuscript is ready for Heart and preparing the evidence package.
Readiness scan
Find out if this manuscript is ready to submit.
Run the Free Readiness Scan before you submit. Catch the issues editors reject on first read.
Quick answer: Submit to Heart when the manuscript changes a cardiovascular decision and the design supports that consequence without relying on prestige language. The disease population, comparator, outcome, uncertainty, and practical or mechanistic meaning should form one traceable argument.
Evidence basis: We checked the official Heart author page, Heart journal home, and BMJ Author Hub on August 26, 2026. Publisher requirements are sourced; the decision tools below are Manusights editorial judgment.
This guide cannot predict acceptance or a private editorial decision; it helps authors test the public requirements and evidence chain before submission.
- Name the cardiovascular decision the paper can change.
- Point to the result and uncertainty that support it.
- State the population, model, or follow-up boundary that remains.
Check the cardiovascular evidence chain before upload.
From our manuscript review practice
The cardiovascular decision should be visible in the question, first figure, and conclusion.
Start with the decision Heart readers can use
Manuscript center | Evidence Heart readers need | Hold when |
|---|---|---|
Clinical outcome | Represented population, comparator, effect size, uncertainty, and follow-up | A subgroup or surrogate carries the conclusion without a boundary |
Mechanism | Cardiovascular pathway, discriminating experiment, and alternative explanation | Association is described as mechanism |
Diagnostic or prognostic tool | Intended use, reference standard, calibration, discrimination, and external validation | Performance is reported only in the development sample |
Prevention or systems research | Actionable decision, implementation setting, equity, and transfer conditions | Context disappears from the recommendation |
The first figure and abstract should make the same editorial promise. If the title advertises a treatment consequence while the decisive evidence is observational, narrow the claim before building the submission package.
Reconstruct the claim before choosing an article type
Write the primary claim as population, comparison, result, uncertainty, and cardiovascular consequence. Then ask which element would disappear if the paper were reframed for a general medicine, subspecialty, methods, or public-health venue. The answer identifies whether Heart truly owns the reader job.
For biomarker and prediction work, distinguish association, prognosis, discrimination, calibration, and clinical utility. For interventions, reconcile registration, protocol, prespecified outcomes, harms, missingness, and sensitivity analyses. For mechanistic studies, show why the model resolves a cardiovascular question rather than merely using cardiovascular material.
Prepare the submission checklist
- Confirm the current article type and its live limits on the official author page.
- Reconcile author names, affiliations, contributions, funding, conflicts, ethics, registration, and data availability across every file and portal field.
- Attach the design-matched reporting checklist from the EQUATOR Network.
- Make figures readable without the discussion and define denominators, units, uncertainty, and missing data.
- Verify the current submission route through Heart's official author surface rather than an old bookmarked portal.
BMJ-wide guidance is useful for shared policies, but journal-specific instructions control the article type and package. Do not infer Heart requirements from another BMJ journal.
Readiness check
Run the scan against the requirements while they're in front of you.
See score, top issues, and journal-fit signals before you submit.
Use a four-stage editorial map
Stage | Editorial question | Author-side prevention |
|---|---|---|
Intake | Is the package complete, ethical, and internally consistent? | Reconcile declarations, files, registration, and reporting material |
Editorial assessment | Does the result change a cardiovascular question for Heart readers? | Put the decision and strongest evidence before broad context |
Peer review | Do design, analysis, controls, and interpretation support the claim? | Expose uncertainty, missingness, sensitivity analyses, and limits |
Revision | Did each response propagate into every affected artifact? | Audit manuscript, figures, supplement, data record, and letter together |
This map describes public editorial functions, not a guaranteed timeline or private workflow. Status labels do not reveal sentiment.
Failure patterns to resolve
Clinical importance is asserted rather than demonstrated. Name the actual clinician, patient, or system decision and the evidence needed to change it.
The represented population is narrower than the conclusion. Keep geography, referral setting, disease stage, comorbidity, treatment era, and follow-up visible.
A model metric substitutes for usefulness. Show calibration, decision relevance, failure cases, and an external test where the claim requires one.
The paper has two protagonists. Decide whether the manuscript owns a cardiovascular mechanism, clinical effect, prediction task, or implementation result; route the secondary job to context.
A cardiovascular consistency audit
Check the title, abstract, first figure, conclusion, cover letter, registration record, and data statement in one pass. Each should support the same claim type and population. A mechanistic result should not become treatment effectiveness; a prognostic association should not become clinical utility; and a short follow-up should not become durable benefit.
In Manusights editorial review, this consistency test is more useful than adding another significance adjective. It identifies where the evidence chain breaks and gives authors a concrete repair before upload.
In our editorial analysis
We use a claim-to-artifact trace rather than a generic journal-fit score. Start with the sentence the editor would need to believe, then identify the figure, table, or analysis that carries each part of it. A clinical-effect claim needs a represented population, an actionable comparison, an effect estimate with uncertainty, and a follow-up window. A prediction claim needs intended use, a reference standard, calibration, discrimination, and an external test that resembles the claimed setting. A mechanism claim needs an intervention or discriminating experiment that weakens the strongest alternative explanation.
This trace often reveals a hidden mismatch: the abstract promises patient benefit while the evidence establishes only association, a subgroup carries a population-wide conclusion, or a model is described as useful without a decision analysis. The repair is not to make the cover letter more enthusiastic. Narrow the claim, add the missing validation, or choose a venue whose reader job matches the evidence already present.
Worked example: prediction without utility
Suppose a multicentre model improves discrimination for a cardiovascular outcome. Before presenting that as clinical usefulness, show calibration in the intended population, define the decision threshold, compare the model with current practice, and disclose which sites or subgroups fail. If the model has not been tested in a workflow, describe it as a validated prognostic model rather than an implementation-ready tool. That distinction should remain consistent in the title, abstract, first figure, discussion, and cover letter.
A package-level contradiction check
Artifact | Question to answer | Common contradiction |
|---|---|---|
Title and abstract | What exact cardiovascular consequence is supported? | Treatment language rests on observational evidence |
First figure | What is the shortest inspectable evidence chain? | A decorative overview appears before the decisive result |
Registration and protocol | Were outcomes, populations, and analyses prespecified? | The manuscript silently promotes a secondary endpoint |
Data and reporting statements | Can readers audit the represented evidence? | The checklist, supplement, and availability statement disagree |
Cover letter | Why does Heart own this reader job? | Prestige replaces a journal-specific consequence |
Run this check after the files are otherwise complete. It catches contradictions created during revision, when a cautious result sentence is updated but an older claim remains in the abstract, figure legend, or letter.
Submit if
- A cardiovascular decision or mechanism clearly owns the paper.
- The main result, uncertainty, and boundary are visible early.
- Registration, reporting, ethics, data, and declarations agree.
- The first figure can carry the central evidence without narrative rescue.
Think Twice If
- Heart is chosen primarily for its reputation rather than its reader job.
- The cardiovascular consequence appears only in the abstract's final sentence or discussion.
- A subgroup table, surrogate endpoint, or development sample carries a population-wide claim.
- The package contains unresolved contradictions across files.
Run the final Heart readiness review.
Official sources accessed August 26, 2026.
Frequently asked questions
Heart is strongest for cardiovascular research with a clear clinical, mechanistic, diagnostic, preventive, or health-system consequence for its specialist readership.
Use Heart's current official author page and the BMJ Author Hub before upload because article types, files, policies, and fees can change.
A technically sound result can still be a weak fit when the cardiovascular decision appears only in the discussion or the claim exceeds the represented population and design.
No. It organizes public requirements and an editorial readiness test; it cannot predict a private editorial decision.
Before you upload
Choose the next useful decision step first.
Move from this article into the next decision-support step. The scan works best once the journal and submission plan are clearer.
Use the scan once the manuscript and target journal are concrete enough to evaluate.
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