Evidence map›Paper›PMID 33829665›Full record

ArticleThoracic cancer2021

Longitudinal changes in skeletal muscle mass in patients with advanced squamous cell lung cancer.

Jongsoo Lee, Eun Young Kim, Eunji Kim, Kwang Gi Kim, Young Jae Kim, Young Saing Kim, Hee Kyung Ahn, Sang-Woong Lee

Abstract read
In one paragraph

Article in Thoracic cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Does pre-checkpoint inhibitor sarcopenia, visceral, or subcutaneous fat predict survival in non-small cell lung cancer patients?Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  6. Article
  7. Review
  8. Body composition alterations in patients with lung cancer.American journal of physiology. Cell physiology · 2025
    Review
  9. Diversity in chemotherapy-induced cachexia.American journal of physiology. Cell physiology · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
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

8 authors.

Jongsoo Lee *Department of Radiology, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea.
Eun Young Kim *Department of Radiology, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea.
Eunji KimDepartment of Biomedical Engineering, Gachon University College of Medicine, Incheon, Republic of Korea.
Kwang Gi KimDepartment of Biomedical Engineering, Gachon University College of Medicine, Incheon, Republic of Korea.
Young Jae Kim *Department of Biomedical Engineering, Gachon University College of Medicine, Incheon, Republic of Korea.
Young Saing Kim *Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea.ORCID 0000-0003-0207-2617
Hee Kyung AhnDepartment of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea.
Sang-Woong LeeDivision of Software, School of AI-SW, Gachon University, Seongnam, Republic of Korea.

Funding

Korea government (MSIT) 2020-0-01907Korea government(MSIT) NRF-2018R1C1B5086352
6 · The paper itself

Abstract

backgroundSkeletal muscle depletion (sarcopenia) is associated with poor prognosis in patients with lung cancer. We analyzed changes in skeletal muscle area using serial computed tomography (CT) until the death of patients with advanced squamous cell lung cancer (SQCLC).

methodsThis retrospective study comprised 70 consecutive patients who underwent palliative chemotherapy for SQCLC. The cross-sectional area of the skeletal muscle at the level of the first lumbar vertebra (L1) was measured using chest CT. An artificial intelligence algorithm was developed and used for the serial assessment of the muscle area. Sarcopenia was defined as an L1 skeletal muscle index <46 cm

resultsThe median age was 69 years; 62 patients (89%) had metastatic disease at the time of initial diagnosis. Sarcopenia was present in 58 patients (82.9%) at baseline; all patients experienced net muscle loss over the disease trajectory. The median overall survival was 8.7 (95% confidence interval 5.9-11.5) months. The mean percentage loss of skeletal muscle between the first and last CT was 16.5 ± 11.0%. Skeletal muscle loss accelerated over time and was the highest in the last 3 months of life (p < 0.001). Patients losing skeletal muscle rapidly (upper tertile, >3.24 cm

conclusionsPatients with advanced SQCLC lose a significant amount of skeletal muscle until death. The rate of muscle area reduction is faster at the end of life.

Indexed as

AgedCarcinoma, Squamous CellFemaleHumansLongitudinal StudiesLung NeoplasmsMaleMuscle, SkeletalPrognosisRetrospective StudiesSarcopeniacancer cachexiachemotherapylung cancerprognosissarcopenia

Identifiers

PMID33829665
PMCPMC8169285

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.