Evidence map›Paper›PMID 42066112›Full record

GuidelineClinical anatomy (New York, N.Y.)2026

Anatomical Variation Quality Assessment Tool (AVQAT): Structured Guide for Reporting and Assessing the Quality of Anatomical Case Reports.

Vojtěch Kunc, David Kachlík, Michal Beneš

Abstract readGuideline
In one paragraph

Guideline in Clinical anatomy (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Vojtěch KuncDepartment of Anatomy, Second Faculty of Medicine, Charles University, Prague, Czech Republic.ORCID https://orcid.org/0000-0002-3165-4977
David KachlíkDepartment of Anatomy, Second Faculty of Medicine, Charles University, Prague, Czech Republic.ORCID https://orcid.org/0000-0002-8150-9663
Michal BenešDepartment of Anatomy, Second Faculty of Medicine, Charles University, Prague, Czech Republic.ORCID https://orcid.org/0000-0003-3326-2325

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anatomical variations are common and often clinically important, yet their description frequently relies on isolated case reports or small series with heterogeneous reporting quality. Incomplete documentation of specimen characteristics, inconsistent anatomical definitions and terminology, insufficient description of visualization methods, limited quantitative measurements, and suboptimal figures all reduce reproducibility and limit comparison and data synthesis. To address the lack of an anatomy-specific quality assessment, the Anatomical Variation Quality Assessment Tool (AVQAT) is introduced as a structured instrument intended for authors, reviewers, and editors. AVQAT comprises two sections organized into nine domains. Section A evaluates technical and descriptive quality across six domains: general aspects, specimen characteristics, anatomical definition, methods of visualization, quantitative description and measurements, and quality and use of figures. Section B evaluates interpretative and contextual quality in three domains: differential diagnostic considerations, identification and integration of previous studies, and ethical and regulatory considerations. Each domain contains targeted items that can be assessed systematically using "Yes," "No," or "Not applicable" responses. The tool is designed to complement, not replace, generic case-report guidance by focusing on the specific demands of anatomical documentation and thereby facilitating higher-quality reporting and more reliable evidence synthesis in scoping and systematic reviews.

Indexed as

Anatomic VariationCase Reports as TopicHumansanatomical variabilitycase reportquality assessment

Identifiers

PMID42066112
PMCPMC13278638

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.