Evidence map›Paper›PMID 39169934›Full record

ReviewChinese medical journal pulmonary and critical care medicine2024

Understanding cachexia and its impact on lung cancer and beyond.

Meiting Yue, Zhen Qin, Liang Hu, Hongbin Ji

Abstract readReview
In one paragraph

Review in Chinese medical journal pulmonary and critical care medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
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  8. Review
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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

4 authors.

Meiting YueState Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.
Zhen QinState Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.
Liang HuState Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.
Hongbin JiState Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer cachexia is a multifactorial syndrome characterized by loss of body weight secondary to skeletal muscle atrophy and adipose tissue wasting. It not only has a significant impact on patients' quality of life but also reduces the effectiveness and tolerability of anticancer therapy, leading to poor clinical outcomes. Lung cancer is a prominent global health concern, and the prevalence of cachexia is high among patients with lung cancer. In this review, we integrate findings from studies of lung cancer and other types of cancer to provide an overview of recent advances in cancer cachexia. Our focus includes topics such as the clinical criteria for diagnosis and staging, the function and mechanism of selected mediators, and potential therapeutic strategies for clinical application. A comprehensive summary of current studies will improve our understanding of the mechanisms underlying cachexia and contribute to the identification of high-risk patients, the development of effective treatment strategies, and the design of appropriate therapeutic regimens for patients at different disease stages.

Indexed as

Cancer cachexiaMediatorsSignaling pathwaysStaging systemsTherapeutic strategies

Identifiers

PMID39169934
PMCPMC11332896

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.