Evidence map›Paper›PMID 39696123›Full record

SynthesisBMC cancer2024

Accumulating evidence from meta-analyses of prognostic studies on oral cancer: towards biomarker-driven patient selection.

Alhadi Almangush, Rasheed Omobolaji Alabi, Matti Pirinen, Antti Mäkitie, Ilmo Leivo

Abstract readSystematic Review
In one paragraph

Synthesis in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Optimizing outcomes: a decision-analysis model for oral cancer patients with surgical margins of 1 to 5 mm.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
    Article
  5. Observational
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

5 authors.

Alhadi AlmangushDepartment of Pathology, University of Helsinki, Haartmaninkatu 3, Helsinki, FIN-00014, P.O. Box 21, Finland. alhadi.almangush@helsinki.fi.
Rasheed Omobolaji AlabiResearch Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Matti PirinenInstitute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.
Antti MäkitieResearch Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Ilmo LeivoInstitute of Biomedicine, Pathology, University of Turku, Kiinamyllynkatu 10 D 5035, Turku, 20520, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany histopathologic prognostic markers, identified by routine hematoxylin and eosin (HE) staining, have been proposed for predicting the survival of patients with oral squamous cell carcinoma (OSCC). Subsequently, several meta-analyses have been conducted on these prognostic markers. We sought to analyze the accumulated evidence from these meta-analyses.

methodsAn electronic database search of PubMed, Scopus, Ovid Medline, Web of Science, and Cochrane Library was conducted to retrieve all meta-analysis articles published on histopathologic prognostic markers of OSCC. The risk of bias of the included studies was analyzed using the Risk of Bias in Systematic Reviews (ROBIS) tool. The synthesis of the results was conducted following the guidelines of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).

resultsThere were 16 meta-analysis articles published on the histological prognostic markers of OSSC. The accumulated evidence from these meta-analyses highlighted the powerful prognostic value of depth of invasion, tumor thickness, perineural invasion, lymphovascular invasion, worst pattern of invasion, tumor budding, and tumor-stroma ratio. The highest odds ratio (OR) of a relationship between a histopathologic prognostic marker and outcome was for the depth of invasion (OR 10.16, 95% CI 5.05-20.46) and tumor thickness (OR 7.32, 95% CI 5.3-10.1) in predicting lymph node metastasis.

conclusionThe published meta-analyses present robust evidence on the significance of emerging histopathologic markers, namely, worst pattern of invasion, tumor budding, and tumor-stroma ratio. It is time to consider such markers in daily pathology reporting and risk stratification of OSCC.

Indexed as

Biomarkers, TumorCarcinoma, Squamous CellMouth NeoplasmsHumansMeta-Analysis as TopicNeoplasm InvasivenessPatient SelectionPrognosisBiomarkers, TumorHistopathologic markersMeta-analysisOral cancerOral squamous cell carcinomaPrognosis

Identifiers

PMID39696123
PMCPMC11658108

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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.