Evidence map›Paper›PMID 28496312›Full record

ArticleClinical interventions in aging2017

Body mass index is associated with type 2 diabetes mellitus in Chinese elderly.

Qianping Zhao, Jari A Laukkanen, Qifu Li, Gang Li

Open access · goldAbstract read
In one paragraph

Article in Clinical interventions in aging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 53 citations in OpenAlex.

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  19. Anthropometric Indices and Type 2 Diabetes Mellitus as a Risk Factor in Predicting Nonalcoholic Fatty Liver Disease - A Prospective Study in Indian Population.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
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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 2 institutions in 2 countries.

Qianping ZhaoDivision of Cardiology, Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Jari A LaukkanenInstitute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.
Qifu LiDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Gang LiDivision of Cardiology, Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
The Affiliated Yongchuan Hospital of Chongqing Medical University · CNUniversity of Eastern Finland · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is limited information on the association between metabolic syndrome components including body mass index (BMI) and type 2 diabetes mellitus in elderly Chinese population. Therefore, we investigated whether components of metabolic syndrome are associated with type 2 diabetes mellitus in elderly.

methodsA total of 479 hospitalized patients (aged 65-95 years) with recently diagnosed type 2 diabetes mellitus were studied retrospectively in a cross-sectional study and compared with 183 subjects with prediabetes and 62 subjects without glucose metabolism abnormalities.

resultsBMI (24.69±3.59 versus 23.92±3.08 and 23.56±3.25 kg/m

conclusionHigher BMI was associated with increased insulin resistance and decreased insulin sensitivity in elderly Asian population with type 2 diabetes mellitus.

Indexed as

Body Mass IndexAgedAged, 80 and overAsian PeopleBlood PressureCross-Sectional StudiesDiabetes Mellitus, Type 2Fatty LiverFemaleHumansLipidsLiver Function TestsMaleMetabolic SyndromePrediabetic StatePrevalenceLipidsagingbody mass indexelderlytype 2 diabetes

Identifiers

PMID28496312
PMCPMC5422331
OpenAlexW2610655608

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.