Evidence map›Paper›PMID 39153110›Full record

ArticleVirchows Archiv : an international journal of pathology2025

What factors influence cellular pathologists' confidence in case reporting?

Harriet Evans, Peter K Kimani, Louise Hiller, Yee Wah Tsang, Shatrughan Sah, Kishore Gopalakrishnan, Clinton Boyd, Maurice B Loughrey, Paul J Kelly, David P Boyle and 11 more

Abstract read
In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2025. 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. Review
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

21 authors.

Harriet EvansHistopathology Department, University Hospitals Coventry and Warwickshire NHS Trust, Clifford Bridge Road, Coventry, CV2 2DX, UK. harriet.evans4@nhs.net.ORCID http://orcid.org/0009-0008-8228-2393
Peter K KimaniClinical Trials Unit, University of Warwick, Coventry, UK.
Louise HillerClinical Trials Unit, University of Warwick, Coventry, UK.
Yee Wah TsangHistopathology Department, University Hospitals Coventry and Warwickshire NHS Trust, Clifford Bridge Road, Coventry, CV2 2DX, UK.
Shatrughan SahHistopathology Department, University Hospitals Coventry and Warwickshire NHS Trust, Clifford Bridge Road, Coventry, CV2 2DX, UK.
Kishore GopalakrishnanHistopathology Department, University Hospitals Coventry and Warwickshire NHS Trust, Clifford Bridge Road, Coventry, CV2 2DX, UK.
Clinton BoydBelfast Health and Social Care Trust, Belfast, UK.
Maurice B LoughreyBelfast Health and Social Care Trust, Belfast, UK.
Paul J KellyBelfast Health and Social Care Trust, Belfast, UK.
David P BoyleBelfast Health and Social Care Trust, Belfast, UK.
David ClarkNottingham University Hospital NHS Trust, Nottingham, UK.
Ian O EllisNottingham University Hospital NHS Trust, Nottingham, UK.
Mohammad IlyasUniversity of Nottingham, Nottingham, UK.
Emad RakhaNottingham University Hospital NHS Trust, Nottingham, UK.
Adam BickersNorthern Lincolnshire and Goole NHS Foundation Trust, Scunthorpe, UK.
Ian S D RobertsOxford University Hospitals NHS Foundation Trust, Oxford, UK.
Maria F SoaresOxford University Hospitals NHS Foundation Trust, Oxford, UK.
Desley A H NeilBirmingham NHS Foundation Trust, Birmingham, UK.
Janet A DunnClinical Trials Unit, University of Warwick, Coventry, UK.
Ayesha AzamHistopathology Department, University Hospitals Coventry and Warwickshire NHS Trust, Clifford Bridge Road, Coventry, CV2 2DX, UK.
David SneadHistopathology Department, University Hospitals Coventry and Warwickshire NHS Trust, Clifford Bridge Road, Coventry, CV2 2DX, UK.

Funding

NIHR NIHR Health Technology Assessment 17/84/07: Multi-centred validation of digital whole slide imaging for routine diagnosis.
6 · The paper itself

Abstract

Histopathology is a challenging interpretive discipline, and the level of confidence a pathologist has in their diagnosis is known to vary, which is conveyed descriptively in pathology reports. There has been little study to accurately quantify pathologists' diagnostic confidence or the factors that influence it. In this study involving sixteen pathologists from six NHS trusts, we assessed diagnostic confidence across multiple variables and four specialties. Each case was reported by four pathologists, with each pathologist reporting each case twice (on light microscopy (LM) and digital pathology (DP)). For each diagnosis, pathologists recorded their confidence on a 7-point Likert scale. This provided 16,187 diagnoses and associated confidence scores for analysis. All variables investigated were found to be significantly predictive of diagnostic confidence, except level of pathologist experience. Confidence was lower for difficult to report cases, cases where there was inter- and intra-pathologist variation in the diagnosis, and cases where the pathologist made an incorrect diagnosis. Confidence was higher, although nominally, for LM diagnoses than DP (rate ratio 1.09 (95% CI 1.01-1.18), p = 0.035), although results indicate pathologists are confident to report on DP. Lowest confidence scores were seen in areas of known diagnostic complexity and cases with quality issues. High confidence in incorrect diagnoses were almost invariably attributed to interpretive diagnostic differences which occurred across both rare and common lesions. The results highlight the value of external quality control schemes and the benefits of selective peer review when reporting.

Indexed as

Clinical CompetencePathologistsPathology, ClinicalDiagnostic ErrorsHumansMicroscopyObserver VariationBreast pathologyDiagnostic confidenceDigital pathologyGastrointestinal pathologyRenal pathologySkin pathology

Identifiers

PMID39153110
PMCPMC12214028

What OpenQuestion holds

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Registered trials

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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.