Evidence map›Paper›PMID 38483650›Full record

SynthesisAging clinical and experimental research2024

Systematic review and meta-analysis of nutrient supplements for treating sarcopenia in people with chronic obstructive pulmonary disease.

Wen-Jian Huang, Chih-Yuan Ko

Open access · hybridAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Aging clinical and experimental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Frailty in COPD: Clinical Impact, Diagnosis, Biomarkers, and Management Strategies.International journal of chronic obstructive pulmonary disease · 2025
    Pooled it
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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

2 authors at 1 institution in 1 country.

Wen-Jian HuangDepartment of Clinical Nutrition, the Second Affiliated Hospital of Fujian Medical University, No. 34, Zhongshanbei Rd, Licheng District, Quanzhou, 362000, Fujian, China.ORCID http://orcid.org/0000-0003-3948-0032
Chih-Yuan KoDepartment of Clinical Nutrition, the Second Affiliated Hospital of Fujian Medical University, No. 34, Zhongshanbei Rd, Licheng District, Quanzhou, 362000, Fujian, China. yuanmomoko@gmail.com.ORCID http://orcid.org/0000-0002-5767-3041
Fujian Medical University · CN

Funding

Science and Technology Projects of Fujian Province 2021J01267The Second Affiliated Hospital of Fujian Medical University BS201902
6 · The paper itself

Abstract

Individuals with chronic obstructive pulmonary disease (COPD) are prone to malnutrition and sarcopenia as a result of nutritional deficiencies and increased energy metabolism. However, the effects of nutrient supplements (NS) on treating sarcopenia in patients with COPD are not well established from systematic evidence. This meta-analysis examined the effect of NS on sarcopenia in patients with COPD. A systematic search of multiple databases was conducted, and 29 randomized controlled trials involving 1625 participants (age, mean [SD] = 67.9 [7.8] years) were analyzed. NS demonstrated significant improvements in body weight (MD,1.33 kg; 95% CI, 0.60, 2.05 kg; P = 0.0003; I

Indexed as

Dietary SupplementsPulmonary Disease, Chronic ObstructiveSarcopeniaAgedHand StrengthHumansRandomized Controlled Trials as TopicChronic obstructive pulmonary disease (COPD)Meta-analysisMuscleNutrient supplements (NS)Sarcopenia

Identifiers

PMID38483650
PMCPMC10940388
OpenAlexW4392799711

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.