Evidence map›Paper›PMID 30254241›Full record

ArticleEuropean journal of clinical nutrition2019

A comparison of CT based measures of skeletal muscle mass and density from the Th4 and L3 levels in patients with advanced non-small-cell lung cancer.

Bjørn H Grønberg, Bjørg Sjøblom, Tore Wentzel-Larsen, Vickie E Baracos, Marianne J Hjermstad, Nina Aass, Roy M Bremnes, Øystein Fløtten, Asta Bye, Marit Jordhøy

Open access · greenAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in European journal of clinical nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

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  10. CT-Derived Features as Predictors of Clot Burden and Resolution.Bioengineering (Basel, Switzerland) · 2024
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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

10 authors at 6 institutions in 2 countries.

Bjørn H GrønbergFaculty of Medicine, Department of Clinical and Molecular Medicine, NTNU, Norwegian University of Science and Technology, Trondheim, Norway. bjorn.h.gronberg@gmail.com.
Bjørg SjøblomDepartment of Oncology, Oslo University Hospital, Oslo, Norway.
Tore Wentzel-LarsenNorwegian Centre for Violence and Traumatic Stress Studies, Oslo, Norway.
Vickie E BaracosDivision of Palliative Care Medicine, Department of Oncology, University of Alberta, Edmonton, Canada.
Marianne J HjermstadFaculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Nina AassDepartment of Oncology, Oslo University Hospital, Oslo, Norway.
Roy M BremnesDepartment of Oncology, University Hospital of North Norway, Tromsø, Norway.
Øystein FløttenDepartment of Thoracic Medicine, Haukeland University Hospital, Bergen, Norway.
Asta ByeDepartment of Oncology, European Palliative Care Research Centre, Oslo University Hospital, Oslo, Norway.
Marit JordhøyFaculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Oslo University Hospital · NOHaukeland University Hospital · NONorwegian University of Science and Technology · NOUiT The Arctic University of Norway · NOUniversity of Alberta · CAUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMuscle mass and density assessed from CT-images at the L3 level are prognostic for survival and predict toxicity in cancer patients. However, L3 is not always included on routine CT-scans. We aimed to investigate whether images at the Th4 level may be used instead.

methodsPatients from three chemotherapy trials in advanced NSCLC were eligible (n = 1305). Skeletal muscle area (cm

resultsCT-images from 401 patients were analysable at both levels. There was a moderate agreement between Th4 and L3 SMI z-scores with an intra-class correlation of 0.71 (95% CI 0.64-0.77) for men and 0.53 (95% CI 0.41-0.63) for women. Regression models predicting L3 SMI z-scores from Th4 SMI z-scores showed coefficients of 0.71 (95% CI 0.62-0.80) among men and 0.53 (95% CI 0.40-0.66) among women. R-squares were 0.51 and 0.28, respectively, indicating moderate agreement. A similar, moderate agreement between Th4 and L3 SMD z-scores was observed.

conclusionThere was only moderate agreement between muscle measures from Th4 and L3 levels, indicating that missing data from the L3 level cannot be replaced by analysing images at the Th4 level.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedMuscle, SkeletalNeoplasm MetastasisNeoplasm StagingPrognosisSarcopeniaTomography, X-Ray Computed

Identifiers

PMID30254241
OpenAlexW2892500787

What OpenQuestion holds

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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.