Evidence map›Paper›PMID 40879944›Full record

ReviewAdvances in experimental medicine and biology2025

Cancer Cachexia.

Melissa J Puppa, James A Carson

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

2 authors.

Melissa J PuppaCollege of Health Sciences, The University of Memphis, Memphis, TN, USA. mpuppa@memphis.edu.
James A CarsonHuffines Institute for Sports Medicine and Human Performance, Texas A&M University, College Station, TX, USA. jamescarson@tamu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscle's metabolic and mechanical functions make it critical for maintaining human health, physical function, and quality of life in adults. The impact of skeletal muscle mass and the metabolic quality of muscle tissue becomes even more critical with advancing age and in patients with chronic diseases. To this end, cachexia is the involuntary loss of body weight, including muscle and fat loss, accompanying an underlying disease or condition. Cancer-induced cachexia occurs across many types of cancer and contributes to increased patient mortality, morbidity, and treatment toxicities, negatively impacting survival. Furthermore, there are currently no approved pharmacological treatments and limited evidence-based therapeutic options to prevent muscle loss or promote muscle recovery in cancer patients. While the systemic effects of cancer and subsequent treatment continue to be examined as drivers of overall wasting, the impact of skeletal muscle mass and metabolic quality in the cancer patient remains a critical area of investigation. A vital knowledge gap exists in understanding how maintaining muscle function and metabolic properties improves cancer patients' survival. The chapter explores the current understanding of how cancer and subsequent treatment impact skeletal muscle mass, function, and metabolic quality. To this end, the current understanding of systemic mediators and metabolic crosstalk between tissues that promote cancer-induced wasting is explored. Additional factors related to sex, physical activity level, chemotherapy-specific effects, and cancer heterogeneity are discussed concerning their impact on cancer-induced muscle wasting.

Indexed as

CachexiaMuscle, SkeletalNeoplasmsAnimalsEnergy MetabolismExerciseHumansQuality of LifeCancerMuscle atrophyWastingWeight loss

Identifiers

What OpenQuestion holds

Textmetadata
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.