Evidence map›Paper›PMID 37594142›Full record

SynthesisJournal of clinical hypertension (Greenwich, Conn.)2023

Geriatric sarcopenia is associated with hypertension: A systematic review and meta-analysis.

Yawen Quan, Chang Wang, Linfeng Wang, Gang Li

Open access · diamondAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of clinical hypertension (Greenwich, Conn.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
9.1field-weighted citation impact, top 1% 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 52 citations in OpenAlex.

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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 at 4 institutions in 1 country.

Yawen QuanDepartment of Geriatric Cardiovascular Diseases, Hebei General Hospital, Shijiazhuang, Hebei, China.ORCID 0009-0008-2813-9174
Chang WangDepartment of Geriatric Cardiovascular Diseases, Hebei General Hospital, Shijiazhuang, Hebei, China.
Linfeng WangDepartment of Geriatric Cardiovascular Diseases, Hebei General Hospital, Shijiazhuang, Hebei, China.
Gang LiDepartment of Geriatric Cardiovascular Diseases, Hebei General Hospital, Shijiazhuang, Hebei, China.
Hebei General Hospital · CNHebei Medical University · CNHebei North University · CNNorth China University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This meta-analysis aimed to explore the potential relationship between senile sarcopenia and hypertension in older people. A comprehensive search was conducted in PubMed, Embase, Web of Science, and the Cochrane Library, up to November 2022. Ten studies comprising 14 804 participants were enrolled. The odds ratio (OR) and 95% confidence interval (CI) was pooled to evaluate the correlation between sarcopenia and hypertension in older people utilizing a random-effects model. Subgroup and sensitivity analyses were then carried out to explore the potential sources of heterogeneity. The results revealed a substantial correlation between sarcopenia and hypertension among older people (OR = 1.39, 95% CI: 1.15-1.67, p < .01). Further subgroup analysis revealed an association between sarcopenic obesity and hypertension (OR = 1.49, 95% CI: 1.37-1.62, p < .01). In conclusions, our findings highlighted a significant relationship between sarcopenia and hypertension among older people, with sarcopenic obesity amplifying this risk.

Indexed as

HypertensionSarcopeniaAgedHumansObesityOdds Ratiohypertensionmeta-analysisolder adultsarcopenia

Identifiers

PMID37594142
PMCPMC10497027
OpenAlexW4385968671

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.