Evidence map›Paper›PMID 35764967›Full record

ArticleBMC geriatrics2022

Osteosarcopenic obesity and its components-osteoporosis, sarcopenia, and obesity-are associated with blood cell count-derived inflammation indices in older Chinese people.

Yi-Zhen Nie, Zhao-Qi Yan, Hui Yin, Ling-Han Shan, Jia-Hui Wang, Qun-Hong Wu

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
6.1field-weighted citation impact, top 2% 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

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

  1. Pooled it
  2. A comprehensive meta-analysis of risk factors associated with osteosarcopenic obesity: a closer look at gender, lifestyle and comorbidities.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024
    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

6 authors at 2 institutions in 1 country.

Yi-Zhen NiePhysical Examination Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, China.
Zhao-Qi YanPhysical Examination Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, China.
Hui YinDepartment of Health Education, School of Health Management, Harbin Medical University, Harbin, 150086, China.
Ling-Han ShanSchool of Health Management, Harbin Medical University, Harbin, 150086, China.
Jia-Hui WangCentre for Health Policy & Management, Health Management College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150086, Heilongjiang Province, People's Republic of China.
Qun-Hong WuCentre for Health Policy & Management, Health Management College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150086, Heilongjiang Province, People's Republic of China. wuqunhong@163.com.
Harbin Medical University · CNSecond Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to investigate the associations of osteosarcopenic obesity (OSO) and its components with complete blood cell count-derived inflammation indices.

methodsIn this cross-sectional study, data of 648 participants aged ≥60 years (men/women: 232/416, mean age: 67.21 ± 6.40 years) were collected from January 2018 to December 2020. Areal bone mineral density and body fat percentage were used to define osteopenia/osteoporosis and obesity, respectively. The criteria of the 2019 Asian Working Group for Sarcopenia were used to diagnose sarcopenia. Based on the number of these conditions, participants were divided into four groups: OSO/0, OSO/1, OSO/2, and OSO/3. Logistic regression analysis was conducted to identify associations between blood cell count-derived inflammation indices and the number of disorders with abnormal body composition.

resultsSystemic inflammation response index (SIRI), white blood cells, neutrophil-to-lymphocyte ratio (NLR), aggregate inflammation systemic index (AISI), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) showed statistically significant differences among the four groups (P < 0.05). Unlike in the OSO/0 group, in all other groups, AISI, SIRI, PLR, and NLR were significantly associated with increased likelihood of having multiple disorders with abnormal body composition after adjustment for confounders (P < 0.0001 for all). However, LMR showed an inverse correlation with the number of these conditions (P < 0.05).

conclusionHigher SIRI, AISI, NLR, and PLR values and lower LMR values are closely associated with OSO and its individual components-osteoporosis, sarcopenia, and obesity-in older adults, suggesting that the value of these indices in the evaluation of OSO warrants further investigation.

Indexed as

OsteoporosisSarcopeniaAgedBlood Cell CountChinaCross-Sectional StudiesFemaleHumansInflammationMaleObesityInflammation indicesObesityOsteoporosisOsteosarcopenic obesitySarcopenia

Identifiers

PMID35764967
PMCPMC9238016
OpenAlexW4283695154

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.