Evidence map›Paper›PMID 37891259›Full record

ArticleScientific reports2023

Diagnosis of sarcopenia on thoracic computed tomography and its association with postoperative survival after anatomic lung cancer resection.

Simone Kaltenhauser, Christoph Niessen, Florian Zeman, Christian Stroszczynski, Niels Zorger, Jirka Grosse, Christian Großer, Hans-Stefan Hofmann, Tobias Robold

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
1.9field-weighted citation impact, top 13% 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, 11 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 3 institutions in 1 country.

Simone Kaltenhauser *Department of Thoracic Surgery, University Hospital Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany. simone.kaltenhauser@stud.uni-regensburg.de.
Christoph Niessen *Department of Radiology, Caritas-Krankenhaus St Josef, Regensburg, Germany.
Florian ZemanCenter of Clinical Studies, University Hospital Regensburg, Regensburg, Germany.
Christian StroszczynskiDepartment of Radiology, University Hospital Regensburg, Regensburg, Germany.
Niels ZorgerDepartment of Radiology, Hospital Barmherzige Brüder Regensburg, Regensburg, Germany.
Jirka GrosseDepartment of Nuclear Medicine, University Hospital Regensburg, Regensburg, Germany.
Christian GroßerDepartment of Thoracic Surgery, Hospital Barmherzige Brüder Regensburg, Regensburg, Germany.
Hans-Stefan HofmannDepartment of Thoracic Surgery, University Hospital Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.
Tobias RoboldDepartment of Thoracic Surgery, University Hospital Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.
University Hospital Regensburg · DEKrankenhaus Barmherzige Brüder · DECaritas-Krankenhaus St. Josef · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computer tomography-derived skeletal muscle index normalized for height in conjunction with muscle density enables single modality-based sarcopenia assessment that accounts for all diagnostic criteria and cutoff recommendations as per the widely accepted European consensus. Yet, the standard approach to quantify skeletal musculature at the third lumbar vertebra is limited for certain patient groups, such as lung cancer patients who receive chest CT for tumor staging that does not encompass this lumbar level. As an alternative, this retrospective study assessed sarcopenia in lung cancer patients treated with curative intent at the tenth thoracic vertebral level using appropriate cutoffs. We showed that skeletal muscle index and radiation attenuation at level T10 correlate well with those at level L3 (Pearson's R = 0.82 and 0.66, p < 0.001). During a median follow-up period of 55.7 months, sarcopenia was independently associated with worse overall (hazard ratio (HR) = 2.11, 95%-confidence interval (95%-CI) = 1.38-3.23, p < 0.001) and cancer-specific survival (HR = 2.00, 95%-CI = 1.19-3.36, p = 0.009) of lung cancer patients following anatomic resection. This study highlights feasibility to diagnose sarcopenia solely by thoracic CT in accordance with the European consensus recommendations. The straightforward methodology offers easy translation into routine clinical care and potential to improve preoperative risk stratification of lung cancer patients scheduled for surgery.

Indexed as

Lung NeoplasmsSarcopeniaHumansMuscle, SkeletalPrognosisRetrospective StudiesTomography, X-Ray Computed

Identifiers

PMID37891259
PMCPMC10611729
OpenAlexW4387996466

What OpenQuestion holds

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LicenceCC BY
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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.