Evidence map›Paper›PMID 34935990›Full record

ArticleActa dermato-venereologica2022

Age-related Differences in Tumour Characteristics and Prognostic Factors for Disease Progression in Cutaneous Squamous Cell Carcinoma of the Head and Neck.

Alet J G Leus, Marjolijn S Haisma, Jorrit B Terra, Gilles F H Diercks, Marloes S Van Kester, Gyorgy B Halmos, Emöke Rácz, Boukje A C Van Dijk, Boudewijn E C Plaat

Open access · goldAbstract read
In one paragraph

Article in Acta dermato-venereologica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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

10 citing papers in PubMed, 12 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Alet J G LeusDepartment of Dermatology, University Medical Center Groningen, Hanzeplein 1, NL-9700 RB Groningen. The Netherlands. a.j.g.leus@umcg.nl.
Marjolijn S Haisma
Jorrit B Terra
Gilles F H Diercks
Marloes S Van Kester
Gyorgy B Halmos
Emöke Rácz
Boukje A C Van Dijk
Boudewijn E C Plaat
University Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Guidelines for cutaneous squamous cell carcinoma of the head and neck do not take the age of the patient into account, but instead assume equal tumour characteristics and prognostic factors for poor outcome in younger and elderly patients. The aim of this study was to compare tumour characteristics of younger (< 75 years) and elderly (≥ 75 years) patients and identify age-specific risk factors for progression of disease, comprising local recurrence, nodal metastasis and distant metastasis. Patient and tumour characteristics were compared using χ2 or Fisher's exact tests. Multivariable competing risk analyses were performed to compare risk factors for progression of disease, incorporating the risk of dying before developing progression of disease. A total of 672 patients with primary cutaneous squamous cell carcinoma of the head and neck were retrospectively included. Larger tumour diameter, worse differentiation grade and deeper invasion were observed in older patients. In elderly patients, but not in younger patients, tumour diameter ≥ 40 mm, moderate differentiation grade and an invasion depth ≥ 2 mm were independent risk factors for progression of disease.

Indexed as

Carcinoma, Squamous CellHead and Neck NeoplasmsSkin NeoplasmsAgedDisease ProgressionHumansNeoplasm Recurrence, LocalNeoplasm StagingPrognosisRetrospective StudiesSquamous Cell Carcinoma of Head and Neck

Identifiers

PMID34935990
PMCPMC9631266
OpenAlexW4200233727

What OpenQuestion holds

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LicenceCC BY-NC
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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.