Evidence map›Paper›PMID 35865317›Full record

Observational studyFrontiers in endocrinology2022

Association of Sarcopenia and A Body Shape Index With Overall and Cause-Specific Mortality.

Yu-Shun Qiao, Xingyao Tang, Yin-He Chai, Hong-Jian Gong, Xin Zhang, Coen D A Stehouwer, Jian-Bo Zhou

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
2.8field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 25 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

7 authors at 3 institutions in 2 countries.

Yu-Shun QiaoDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Xingyao TangBeijing Tongren Hospital, Capital Medical University, Beijing, China.
Yin-He ChaiDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Hong-Jian GongDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Xin ZhangDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Coen D A StehouwerDepartment of Internal Medicine and CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, Netherlands.
Jian-Bo ZhouDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Beijing Tongren Hospital · CNCapital Medical University · CNMaastricht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This observational study aimed to examine the association between the A Body Shape Index (ABSI) and/or sarcopenia and total, cardiovascular, and cancer mortality. Methods: The associations of sarcopenia and ABSI with all-cause, cardiovascular, and cancer mortality were assessed in 4,488 participants from the 1999-2004 National Health and Nutrition Examination Survey (NHANES) who were followed up until December 31, 2015. Models were analyzed separately for men and women and adjusted for age, race, and other confounding factors. ABSI was assessed as a continuous measurement by quartile for men and women. Population attributable fractions (PAFs) were calculated to assess mortality caused by sarcopenia and/or ABSI in the study population. Results: When ABSI was assessed as a continuous variable, the ABSI quartile showed a linear trend for total ( Conclusion: The ABSI value was significantly associated with all-cause and cardiovascular mortality, and the co-existence of higher ABSI values and sarcopenia can contribute to a more significant death risk in comparison with high ABSI values or sarcopenia. Moreover, the ABSI values in combination with the ASMI can be used to preliminarily evaluate the content and distribution of fat and muscle and to predict the risk of death in obese and sarcopenic populations.

Indexed as

SarcopeniaBody Mass IndexCause of DeathFemaleHumansMaleNutrition SurveysRisk FactorsA Body Shape Indexall-cause mortalitycardiovascular mortalityobservational studysarcopenia

Identifiers

PMID35865317
PMCPMC9294172
OpenAlexW4283810625

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.