Evidence map›Paper›PMID 31977891›Full record

Observational studyMedicine2020

Peripheral monocyte count is an independent predictor of all-cause mortality in type 2 diabetes with macro-vascular complications.

Lina Yang, Jinbo Hu, Zhihong Wang, Xiangjun Chen, Yue Wang, Shumin Yang, Ting Luo, Mei Mei, Qingfeng Cheng, Zhixin Xu and 4 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. The Association Pattern between Ambient Temperature Change and Leukocyte Counts.International journal of environmental research and public health · 2021
    Observational
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

14 authors at 2 institutions in 1 country.

Lina YangMedical Examination Centre.
Jinbo HuDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhihong WangDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xiangjun ChenDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yue WangDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Shumin YangDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ting LuoDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Mei MeiDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Qingfeng ChengDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhixin XuDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhipeng DuDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Lilin GongDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Rong LuoMedical Examination Centre.
Qifu LiDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
First Affiliated Hospital of Chongqing Medical University · CNChongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between monocyte count and mortality seemed to be varied in different diseases, and it remains unclear in type 2 diabetes (T2D). We conducted a prospective study to investigate whether monocyte count predict all-cause mortality in patients with T2D.In this prospective study, a total of 1073 patients with T2D were enrolled at baseline and 880 patients completed the follow up. The median follow-up time was 47 months. At baseline, clinical characteristics including height, weight, waist circumference, blood pressure were recorded. Biochemical parameters including counts of white blood cells (WBCC), neutrophil (NC) and monocyte (MC), lipid profiles, glycated hemoglobin (HbA1c), serum creatinine were measured. Charlson comorbidity index (CCI) was calculated based on age and comorbidities. Participants were stratified into low, median, and high tertiles according to the baseline MC. Regression models were used to analyze the associations of peripheral MC and the all-cause mortality.Compared to the survived subjects, the baseline MC was significantly higher in patients who deceased during the follow-up (0.45 ± 0.16 vs 0.37 ± 0.15 × 10/L, P = .003). In the multivariate Cox hazard models, subjects in higher MC tertile showed higher risks of all-cause mortality (low tertile as the reference, hazard ratio [HR] 95%CI 2.65 [0.84,8.31] and 3.73 [1.14,12.24] for middle and high MC tertile, respectively) after adjusted for gender, body mass index, CCI, duration of T2D, history of hypertension and metabolic syndrome, drugs, levels of high-sensitivity C-reactive protein, systolic blood pressure, HbA1c, WBCC, and NC. In T2D patients with macro-vascular complications at baseline, 1-SD increment of MC resulted in 1.92-fold higher risk of all-cause mortality. However, the relationship disappeared in subjects without macro-vascular complications at baseline (1.13 [0.72, 1.78], P = .591).Peripheral monocyte count is an independent predictor of all-cause mortality in T2D, especially for subjects with macro-vascular complications.

Indexed as

AgedBiomarkersCase-Control StudiesDiabetes Mellitus, Type 2Diabetic AngiopathiesHumansMiddle AgedMonocytesProportional Hazards ModelsProspective StudiesBiomarkers

Identifiers

PMID31977891
PMCPMC7004687
OpenAlexW3002874752

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.