Evidence mapPaperPMID 39342128Full record

SynthesisBMC geriatrics2024

Multidimensional frailty as a predictor of mortality among older adults: a systematic review and meta-analysis.

Wei Liu, Rixin Qin, Yiming Qiu, Taiyuan Luan, Borong Qiu, Ke Yan, Zhe Chen, Beibei Miao, Yujin Liu

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. 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

9 authors.

Wei LiuSchool of Nursing, Beihua University, 3999 Binjiang East Road, Jilin, 132013, China.
Rixin QinSchool of Nursing, Beihua University, 3999 Binjiang East Road, Jilin, 132013, China.
Yiming QiuSchool of Nursing, Jilin University, 965 Xinjiang Street, Changchun, Jilin , 130021, China.
Taiyuan LuanThe First Hospital of Jilin University, 1 xinmin street, Changchun, 130021, China.
Borong QiuJilin Overseas Chinese Hospital, 8 Xiamen Street, Jilin, 132013, China.
Ke YanThe First Hospital of Jilin University, 1 xinmin street, Changchun, 130021, China.
Zhe ChenJilin City People's Hospital, Zhongxin street, Jilin, 132001, China.
Beibei MiaoSchool of Nursing, Beihua University, 3999 Binjiang East Road, Jilin, 132013, China. miaobb06@126.com.
Yujin LiuChangchun Humanities and Sciences College, 1488 Boshuo Road, Changchun, 130119, China. Liuyujin2024@163.com.

Funding

the Health Science and Technology Capacity Enhancement Project of Jilin Province 2023LC024the Science and Technology Research Project of Education Department of Jilin Province JJKH20240105KJ
6 · The paper itself

Abstract

objectiveThis systematic review examined studies that assessed the relationship between mortality risk and multidimensional frailty. The pooled risk of mortality was estimated via a meta-analysis.

designA systematic review and meta-analysis.

methodsA systematic search for potentially eligible literature was conducted on January 2, 2023, using five electronic databases: Web of Science, CINAHL, PubMed, the Cochrane Library and Embase. This review included cohort or longitudinal studies examining the association between multidimensional frailty/prefrailty and mortality in older adults. The quality of the included studies was evaluated via the Quality in Prognosis Studies (QUIPS) tool. Two independent researchers identified eligible studies and extracted the data. The data analyses were performed via STATA, version 15.0.

resultsA total of 24 studies with 34,664 participants were included. The 24 studies were published between 2012 and 2022, with most studies being performed in Italy (n = 16). The sample sizes of the included studies ranged from 71 to 12,020. Most included studies were conducted in hospital settings. The QUIPS bias assessment results showed that the most frequent source of potential bias was study confounding. The meta-analysis results showed that multidimensional frailty was a significant predictor of mortality (HR = 5.48, 95% CI = 3.91-7.67, p < 0.001). In addition, multidimensional prefrailty was also a significant predictor of mortality (HR = 2.56, 95% CI = 2.17-3.02, p < 0.001). The results of the meta-analysis using the ORs revealed that multidimensional frailty was a risk factor for mortality in older people (OR = 4.59, 95% CI = 2.47-8.55, p < 0.05). CONCLUSIONS AND IMPLICATIONS: This systematic review of the relationship between multidimensional frailty and mortality found that multidimensional frailty/prefrailty is a predictor of mortality. More studies should be conducted in community dwelling populations and nursing homes.

Indexed as

Frail ElderlyFrailtyAgedAged, 80 and overGeriatric AssessmentHumansMortalityMeta-analysisMortalityMultidimensional frailtyOlder adultsSystematic review

Identifiers

PMID39342128
PMCPMC11439258

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.