Evidence map›Paper›PMID 37835410›Full record

ArticleCancers2023

Untailored vs. Gender- and Body-Mass-Index-Tailored Skeletal Muscle Mass Index (SMI) to Assess Sarcopenia in Advanced Head and Neck Squamous Cell Carcinoma (HNSCC).

Cristina Morelli, Vincenzo Formica, Paolo Bossi, Michela Rofei, Simona Guerriero, Silvia Riondino, Renato Argirò, Noemi Pucci, Tonia Cenci, Luca Savino and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 5 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

16 authors at 2 institutions in 1 country.

Cristina MorelliMedical Oncology Unit, Department of Systems Medicine, Tor Vergata University Hospital, 00133 Rome, Italy.
Vincenzo FormicaMedical Oncology Unit, Department of Systems Medicine, Tor Vergata University Hospital, 00133 Rome, Italy.ORCID 0000-0002-5380-3144
Paolo BossiMedical Oncology, Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, "ASST Spedali Civili di Brescia", University of Brescia, 25123 Brescia, Italy.
Michela RofeiMedical Oncology Unit, Department of Systems Medicine, Tor Vergata University Hospital, 00133 Rome, Italy.
Simona GuerrieroMedical Oncology Unit, Department of Systems Medicine, Tor Vergata University Hospital, 00133 Rome, Italy.
Silvia RiondinoMedical Oncology Unit, Department of Systems Medicine, Tor Vergata University Hospital, 00133 Rome, Italy.
Renato ArgiròInterventional Radiology Unit, Department of Biomedicine and Prevention, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0002-2878-4658
Noemi PucciNeuroradiology Unit, Department of Biomedicine and Prevention, University of Rome "Tor Vergata", 00133 Rome, Italy.
Tonia CenciAnatomic Pathology, Department of Biomedicine and Prevention, University of Rome "Tor Vergata", 00133 Rome, Italy.
Luca SavinoAnatomic Pathology, Department of Biomedicine and Prevention, University of Rome "Tor Vergata", 00133 Rome, Italy.
Carla G RinaldiRadiation Oncology, Department of Biomedicine and Prevention, University of Rome "Tor Vergata", 00152 Rome, Italy.
Francesco GaraciNeuroradiology Unit, Department of Biomedicine and Prevention, University of Rome "Tor Vergata", 00133 Rome, Italy.
Augusto OrlandiAnatomic Pathology, Department of Biomedicine and Prevention, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0001-7202-5854
Rolando M D'AngelilloRadiation Oncology, Department of Biomedicine and Prevention, University of Rome "Tor Vergata", 00152 Rome, Italy.
Hendrik-Tobias ArkenauEllipses Pharma, London W1J 8LG, UK.
Mario RoselliMedical Oncology Unit, Department of Systems Medicine, Tor Vergata University Hospital, 00133 Rome, Italy.ORCID 0000-0002-2431-6689
University of Rome Tor Vergata · ITAzienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Sarcopenia lasting >1 year might be considered a chronic condition in many HNSCC patients. CT-scan-derived Skeletal Muscle Mass Index (SMI) is an established surrogate of sarcopenia; yet, the cut-off reported in the literature (literature-based, lb-SMI < 43.2) is mainly based on the risk of chemoradiotherapy-induced toxicity, and the optimal value to discriminate OS is under-investigated. (2) Methods: The effect on OS of the lb-SMI cutoff was compared with an untailored OS-oriented SMI cutoff obtained in a cohort of consecutive advanced HNSCC patients treated with primary chemoradiotherapy, bio-chemotherapy or chemo-immunotherapy (cohort-specific, cs-SMI cutoff). Gender- and BMI-tailored (gt-SMI and bt-SMI) cut-offs were also evaluated. Cutoff values were identified by using the maximally selected rank statistics for OS. (3) Results: In 115 HNSCC patients, the cs-SMI cutoff was 31.50, which was lower compared to the lb-SMI reported cut-off. The optimal cut-off separately determined in females, males, overweight and non-overweight patients were 46.02, 34.37, 27.32 and 34.73, respectively. gt-SMI categorization had the highest effect on survival (

Indexed as

head and neck cancersarcopeniaskeletal muscle mass index

Identifiers

PMID37835410
PMCPMC10571960
OpenAlexW4387056485

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.