Evidence map›Paper›PMID 27822025›Full record

ArticleClinical interventions in aging2016

Deep analyses of the associations of a series of biomarkers with insulin resistance, metabolic syndrome, and diabetes risk in nondiabetic middle-aged and elderly individuals: results from a Chinese community-based study.

Shihui Fu, Ping Ping, Leiming Luo, Ping Ye

Open access · goldAbstract read
In one paragraph

Article in Clinical interventions in aging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Roles for c-Abl in postoperative neurodegeneration.International journal of medical sciences · 2022
    Review
  4. Article
  5. Article
  6. Biomarkers in Cardiorenal Syndromes.BioMed research international · 2018
    Review
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.

Shihui FuDepartment of Geriatric Cardiology; Department of Cardiology and Hainan Branch.
Ping PingDepartment of Pharmaceutical Care, Chinese People's Liberation Army General Hospital, Beijing, People's Republic of China.
Leiming LuoDepartment of Geriatric Cardiology.
Ping YeDepartment of Geriatric Cardiology.
Chinese General Hospital College of Nursing and Liberal Arts · PHHainan Agricultural School · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe current study was designed to perform deep analyses of the associations of biomarkers, including high-sensitivity C-reactive protein (hs-CRP), N-terminal prohormone of brain natriuretic peptide (NT-proBNP), and homocysteine (Hcy), with insulin resistance (IR), metabolic syndrome (MetS), and diabetes risk and evaluate the abilities of biomarkers to identify IR, MetS, and diabetes risk in Chinese community-dwelling middle-aged and elderly residents. PARTICIPANTS AND

methodsA total of 396 participants older than 45 years underwent physical examinations and laboratory analyses following standardized protocol.

resultsSerum hs-CRP concentrations were able to identify MetS, Chinese diabetes risk score (CDRS) ≥4, high-density lipoprotein-cholesterol (HDL-c) <0.9/1.0 mmol/L, and HDL-c <1.0/1.3 mmol/L (

conclusionSerum HDL-c levels were the major determinant of the associations between serum hs-CRP levels and MetS and the key link between inflammation and MetS. There was no other association of these biomarkers with IR, MetS, and diabetes risk after full adjustment.

Indexed as

Insulin ResistanceAgedAsian PeopleBiomarkersChinaCholesterol, HDLC-Reactive ProteinDiabetes MellitusFemaleHomocysteineHumansMaleMetabolic SyndromeMiddle AgedNatriuretic Peptide, BrainPeptide FragmentsBiomarkersCholesterol, HDLC-Reactive ProteinHomocysteineNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)biomarkersdiabetes riskinsulin resistancemetabolic syndromemiddle-aged and elderly

Identifiers

PMID27822025
PMCPMC5094606
OpenAlexW2540644481

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.