Evidence map›Paper›PMID 39462324›Full record

SynthesisBMC cardiovascular disorders2024

Efficacy and safety of coenzyme Q10 in heart failure: a meta-analysis of randomized controlled trials.

Jiayi Xu, Luwei Xiang, Xuwen Yin, Haiyan Song, Chen Chen, Bei Yang, Hongfang Ye, Zejuan Gu

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Mechano-energetic uncoupling in heart failure.Nature reviews. Cardiology · 2025
    Review
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  12. 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

8 authors.

Jiayi Xu *Suzhou Medical College of Soochow University, 199 Renai Road, Suzhou, Jiangsu, 215123, China.
Luwei Xiang *School of Nursing, Nanjing University of Chinese Medicine, 138 Xianlin Road, Nanjing, Jiangsu, 210023, China.
Xuwen YinSchool of Nursing, Nanjing University of Chinese Medicine, 138 Xianlin Road, Nanjing, Jiangsu, 210023, China.
Haiyan SongSchool of Nursing, Nanjing University of Chinese Medicine, 138 Xianlin Road, Nanjing, Jiangsu, 210023, China.
Chen ChenSchool of Nursing, Nanjing Medical University, 101 Longmian Road, Nanjing, Jiangsu, 211166, China.
Bei YangSchool of Nursing, Nanjing University of Chinese Medicine, 138 Xianlin Road, Nanjing, Jiangsu, 210023, China.
Hongfang YeSchool of Nursing, Nanjing University of Chinese Medicine, 138 Xianlin Road, Nanjing, Jiangsu, 210023, China. 13915969627@163.com.
Zejuan GuDepartment of Nursing, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, 300 Guangzhou Road, Nanjing, Jiangsu, 210029, China. jassicagu@163.com.

Funding

Jawaharlal Institute Of Postgraduate Medical Education and Research SJCX23_0822Jiangsu Provincial Medical Innovation Team CXTDA2017019Nanjing Drum Tower Hospital Nursing Research Project 2023-A371Postgraduate Research & Practice Innovation Program of Jiangsu Province SJCX23_0728
6 · The paper itself

Abstract

backgroundThe effectiveness and adverse effects of coenzyme Q10 for heart failure remain unclear owing to small sample sizes and variations in the quality of existing studies in literature.

methodsThe databases of EMBASE, PubMed, Web of Science, CINAHL databases, Scopus, Cochrane Central Register of Controlled Trials, VIP, Wanfang, and CNKI were searched for randomized controlled trials on the coenzyme Q10-assisted treatment of heart failure. Relevant literature was retrieved, data were extracted, and the risk of bias of the included studies was evaluated by two investigators independently using the Review Manager 5.4 software and the STATA 15 software.

resultsIn total, 33 studies were included in this meta-analysis, which showed that all-cause mortality [RR = 0.64, 95% CI (0.48, 0.85), P = 0.002; GRADE: moderate quality], hospitalization for heart failure [RR = 0.50, 95% CI (0.37, 0.67), P < 0.00001; GRADE: moderate quality], New York Heart Association classification [MD = - 0.29, 95% CI (- 0.39, - 0.19), P < 0.00001; GRADE: low quality], and brain natriuretic peptide level [MD = - 91.97, 95% CI (- 103.11, - 80.83), P < 0.00001; GRADE: low quality] were lower in the coenzyme Q10 group than in the control group. Meanwhile, left ventricular ejection fraction [MD = 0.51, 95% CI (0.31, 0.71), P < 0.00001; GRADE: low quality] and 6-min walk test result [MD = 31.70, 95% CI (19.96, 43.43), P < 0.00001; GRADE: moderate quality] were better than those in the control group.

conclusionsAccording to the existing evidence, coenzyme Q10 reduces all-cause mortality, hospitalization for heart failure, New York Heart Association classification, and brain natriuretic peptide level and improves left ventricular ejection fraction and 6-min walk test result in those with heart failure without major adverse effects.

trial registrationThis study protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO, http://www.crd.york.ac.uk/prospero ), with the registration number CRD42023493184.

Indexed as

Heart FailureUbiquinoneVentricular Function, LeftAgedAged, 80 and overExercise ToleranceFemaleHumansMaleMiddle AgedRandomized Controlled Trials as TopicRecovery of FunctionRisk FactorsStroke VolumeTime FactorsTreatment Outcomecoenzyme Q10UbiquinoneCoenzyme Q10Heart failureMeta analysisRandomized controlled trialSafety outcomes

Identifiers

PMID39462324
PMCPMC11515203

What OpenQuestion 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 OpenQuestion graph.