Evidence map›Paper›PMID 39448408›Full record

ArticleVirchows Archiv : an international journal of pathology2024

Exploratory evidence maps for the WHO Classification of Tumours 5th edition for lung and thymus tumors.

Christine Giesen, Javier Del Águila Mejía, Subasri Armon, Ramon Cierco Jimenez, Nickolas Myles, Gabrielle Goldman-Lévy, Alberto Machado, Iciar Indave, Ian A Cree, Dilani Lokuhetty and 1 more

Abstract read
In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Preoperative multiclass classification of thymic mass lesions based on radiomics and machine learning.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
  2. 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

11 authors.

Christine Giesen *Evidence Synthesis Branch, International Agency for Research On Cancer (IARC), World Health Organization, 25 Avenue Tony Garnier, CS 90627, 69366, CEDEX 07, LYON, France. giesenc@iarc.who.int.ORCID http://orcid.org/0000-0002-5026-9724
Javier Del Águila Mejía *Evidence Synthesis Branch, International Agency for Research On Cancer (IARC), World Health Organization, 25 Avenue Tony Garnier, CS 90627, 69366, CEDEX 07, LYON, France.
Subasri ArmonEvidence Synthesis Branch, International Agency for Research On Cancer (IARC), World Health Organization, 25 Avenue Tony Garnier, CS 90627, 69366, CEDEX 07, LYON, France.
Ramon Cierco JimenezEvidence Synthesis Branch, International Agency for Research On Cancer (IARC), World Health Organization, 25 Avenue Tony Garnier, CS 90627, 69366, CEDEX 07, LYON, France.
Nickolas MylesEvidence Synthesis Branch, International Agency for Research On Cancer (IARC), World Health Organization, 25 Avenue Tony Garnier, CS 90627, 69366, CEDEX 07, LYON, France.
Gabrielle Goldman-LévyEvidence Synthesis Branch, International Agency for Research On Cancer (IARC), World Health Organization, 25 Avenue Tony Garnier, CS 90627, 69366, CEDEX 07, LYON, France.
Alberto MachadoEvidence Synthesis Branch, International Agency for Research On Cancer (IARC), World Health Organization, 25 Avenue Tony Garnier, CS 90627, 69366, CEDEX 07, LYON, France.
Iciar IndaveEvidence Synthesis Branch, International Agency for Research On Cancer (IARC), World Health Organization, 25 Avenue Tony Garnier, CS 90627, 69366, CEDEX 07, LYON, France.
Ian A CreeEvidence Synthesis Branch, International Agency for Research On Cancer (IARC), World Health Organization, 25 Avenue Tony Garnier, CS 90627, 69366, CEDEX 07, LYON, France.
Dilani LokuhettyEvidence Synthesis Branch, International Agency for Research On Cancer (IARC), World Health Organization, 25 Avenue Tony Garnier, CS 90627, 69366, CEDEX 07, LYON, France.
WCT EVI MAP

Funding

Horizon 2020 101057127World Health Organization 001
6 · The paper itself

Abstract

The WHO Classification of Tumours (WCT) guides cancer diagnosis, treatment, and research. However, research evidence in pathology continuously changes, and new evidence emerges. Correct assessment of evidence in the WCT 5th edition (WCT-5) and identification of high level of evidence (LOE) studies based on study design are needed to improve future editions. We aimed at producing exploratory evidence maps for WCT-5 Thoracic Tumours, specifically lung and thymus tumors. We extracted citations from WCT-5, and imported and coded them in EPPI-Reviewer. The maps were plotted using EPPI-Mapper. Maps displayed tumor types (columns), descriptors (rows), and LOE (bubbles using a four-color code). We included 1434 studies addressing 51 lung, and 677 studies addressing 25 thymus tumor types from WCT-5 thoracic tumours volume. Overall, 87.7% (n = 1257) and 80.8% (n = 547) references were low, and 4.1% (n = 59) and 2.2% (n = 15) high LOE for lung and thymus tumors, respectively. Invasive non-mucinous adenocarcinoma of the lung (n = 215; 15.0%) and squamous cell carcinoma of the thymus (n = 93; 13.7%) presented the highest number of references. High LOE was observed for colloid adenocarcinoma of the lung (n = 11; 18.2%) and type AB thymoma (n = 4; 1.4%). Tumor descriptors with the highest number of citations were prognosis and prediction (n = 273; 19.0%) for lung, and epidemiology (n = 186; 28.0%) for thymus tumors. LOE was generally low for lung and thymus tumors. This study represents an initial step in the WCT Evidence Gap Map (WCT-EVI-MAP) project for mapping references in WCT-5 for all tumor types to inform future WCT editions.

Indexed as

Lung NeoplasmsThymus NeoplasmsWorld Health OrganizationHumansCancer researchEvidence mapsLevel of evidenceWHO tumor classification

Identifiers

PMID39448408
PMCPMC11564295

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.