Evidence map›Paper›PMID 33291708›Full record

ReviewInternational journal of molecular sciences2020

Cancer-Associated Muscle Wasting-Candidate Mechanisms and Molecular Pathways.

Victoria S Armstrong, Liam W Fitzgerald, Oliver F Bathe

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Trial
  2. Article
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  4. Review
  5. Article
  6. Review
  7. Article
  8. 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
  9. Review
  10. Article
  11. Observational
  12. Review
  13. Review
  14. Frontiers in nutrition · 2025
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

3 authors.

Victoria S ArmstrongArnie Charbonneau Cancer Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4Z6, Canada.
Liam W FitzgeraldArnie Charbonneau Cancer Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4Z6, Canada.
Oliver F BatheArnie Charbonneau Cancer Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4Z6, Canada.ORCID 0000-0003-2305-4602

Funding

Apologies, funding information needs to be confirmed 000
6 · The paper itself

Abstract

Excessive muscle loss is commonly observed in cancer patients and its association with poor prognosis has been well-established. Cancer-associated sarcopenia differs from age-related wasting in that it is not responsive to nutritional intervention and exercise. This is related to its unique pathogenesis, a result of diverse and interconnected mechanisms including inflammation, disordered metabolism, proteolysis and autophagy. There is a growing body of evidence that suggests that the tumor is the driver of muscle wasting by its elaboration of mediators that influence each of these pro-sarcopenic pathways. In this review, evidence for these tumor-derived factors and putative mechanisms for inducing muscle wasting will be reviewed. Potential targets for future research and therapeutic interventions will also be reviewed.

Indexed as

Disease SusceptibilityBiomarkersEnergy MetabolismHumansInflammation MediatorsMuscle DevelopmentMuscle, SkeletalNeoplasmsSarcopeniaSignal TransductionBiomarkersInflammation Mediatorscancermediatorsmuscle wastingpathophysiologysarcopeniatumortumor-derived

Identifiers

PMID33291708
PMCPMC7729509

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.