Evidence map›Paper›PMID 32140984›Full record

ArticleEndocrine2020

Leukocyte-related parameters in older adults with metabolic syndrome.

Xue-Jiao Yang, Shun Tian, Qing-Hua Ma, Hong-Peng Sun, Yong Xu, Chen-Wei Pan

Abstract read
PubMed Publisher
In one paragraph

Article in Endocrine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Multimorbidity patterns and health-related quality of life among community-dwelling older adults: evidence from a rural town in Suzhou, China.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Correlation of White Blood Cell, Neutrophils, and Hemoglobin with Metabolic Syndrome and Its Components.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
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 1 institution in 1 country.

Xue-Jiao YangSchool of Public Health, Medical College of Soochow University, Suzhou, China.
Shun TianSchool of Public Health, Medical College of Soochow University, Suzhou, China.
Qing-Hua MaThe 3rd People's Hospital of Xiangcheng District, Suzhou, China.
Hong-Peng SunSchool of Public Health, Medical College of Soochow University, Suzhou, China.
Yong XuSchool of Public Health, Medical College of Soochow University, Suzhou, China.
Chen-Wei PanSchool of Public Health, Medical College of Soochow University, Suzhou, China. pcwonly@gmail.com.
Soochow University · CN

Funding

the Science and Technology Bureau of Xiangcheng District in Suzhou, China no. XJ201706
6 · The paper itself

Abstract

purposeWe aimed to examine the association between leukocyte-related parameters and the risk of metabolic syndrome (MetS) in community-dwelling older Chinese adults, with a special focus on assessing the diagnostic ability of leukocyte-related parameters in detecting MetS and the potential interaction effect of sex in the leukocyte-MetS relationship.

methodsStudy sample was from the Weitang Geriatric Diseases Study, which included 4579 individuals aged 60 years or above. MetS was diagnosed based on the Adult Treatment Panel III criteria. Leukocyte-related parameters were assessed using an automated hematology analyzer.

resultsThe adjusted odds ratio (95% confidence interval (CI)) of MetS for the highest quartile of leukocyte-related parameters (leukocyte, lymphocyte, neutrophil, monocyte, eosinophil, and basophil), when compared with the lowest quartile were 2.87 (2.30, 3.59), 2.69 (2.15, 3.36), 2.09 (1.67, 2.62), 2.12 (1.71, 2.64), 1.62 (1.31, 2.00), and 1.36 (1.11, 1.65), respectively. Adding leukocyte, lymphocyte, monocyte, and neutrophil to a model containing conventional risk factors improved risk prediction for MetS. Furthermore, significant interactions between leukocyte, monocyte, neutrophil, and sex on MetS were observed (all P value for interaction <0.01).

conclusionThe numbers of total leukocytes, lymphocyte, monocyte, neutrophil, and eosinophil counts were elevated in older adults with MetS, suggesting that leukocyte-related parameters may be meaningful biomarkers for MetS. Adding leukocyte-related parameters to the conventional models increased the ability of predicting MetS among older adults. These parameters may be useful biomarkers for further risk appraisal of MetS in older adults.

Indexed as

Metabolic SyndromeAgedCross-Sectional StudiesHumansLeukocyte CountLeukocytesLymphocytesMiddle AgedNeutrophilsRisk FactorsLeukocyte-related parameterLeukocytesMetabolic syndromeOlder adultsSex differences

Identifiers

PMID32140984
OpenAlexW3009845295

What OpenQuestion holds

Textmetadata
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.