Evidence map›Paper›PMID 40441871›Full record

ReviewBMJ evidence-based medicine2025

Evidence categories in systematic assessment of cancer overdiagnosis.

Anton Barchuk, Niko K Nordlund, Alex L E Halme, Kari A O Tikkinen

Abstract readReview
In one paragraph

Review in BMJ evidence-based medicine, 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. 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

4 authors.

Anton BarchukFaculty of Medicine, University of Helsinki, Helsinki, Finland anton.barchuk@helsinki.fi.ORCID 0000-0002-4629-3326
Niko K NordlundFaculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID 0009-0007-6681-9675
Alex L E HalmeFaculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-6597-818X
Kari A O TikkinenDepartment of Urology, Helsinki University Hospital, Helsinki, Finland.ORCID 0000-0002-1389-8214

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The phenomenon of cancer overdiagnosis, the diagnosis of a malignant tumour that, without detection, would never lead to adverse health effects, has been reported for several cancer types in different populations. There has been an increase in studies focused on overdiagnosis, creating an opportunity to synthesise evidence on specific cancer types. However, studies that systematically assess evidence across different research domains remain scarce, with most of them relying on data from studies that already mentioned overdiagnosis as a potential concern. In this review, we consider several evidence categories that are used to systematically assess the presence and magnitude of overdiagnosis, including (1) data from cancer surveillance, (2) studies exploring the 'true' prevalence of cancer in the population, (3) studies that explore the use of diagnostics and its effect on incidence and mortality and (4) studies that explore changes and progress in cancer management and its effect on cancer mortality. This article highlights the strengths and weaknesses of different evidence categories, provides examples of studies on different cancer types and discusses how these categories can help synthesise evidence on cancer overdiagnosis.

Indexed as

Medical OveruseNeoplasmsOverdiagnosisEarly Detection of CancerEvidence-Based MedicineHumansIncidencePrevalenceEarly DiagnosisNeoplasmsOverdiagnosis

Identifiers

PMID40441871
PMCPMC12505034

What OpenQuestion holds

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LicenceCC BY-NC
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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.