Evidence map›Paper›PMID 34950103›Full record

ArticleFrontiers in endocrinology2021

Red Blood Cell Count: An Unrecognized Risk Factor for Nonalcoholic Fatty Liver Disease.

Fang Zhong, Liying Guan, Haiyan Lin, Meng Zhao, Yiming Qin, Qihang Li, Zhongshang Yuan, Guang Yang, Ling Gao, Jiajun Zhao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Prevalence and Risk Factors of Metabolic-Associated Fatty Liver Disease Among Hospital Staff.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Article
  9. Article
  10. 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

10 authors at 4 institutions in 1 country.

Fang ZhongDepartment of Endocrinology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Liying GuanHealth Management Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Haiyan LinHealth Management Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Meng ZhaoShandong Clinical Medical Center of Endocrinology and Metabolism, Jinan, China.
Yiming QinCollege of Chemical Engineering and Materials Science, Shandong Normal University, Jinan, China.
Qihang LiDepartment of Endocrinology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Zhongshang YuanDepartment of Biostatistics, School of Public Health, Shandong University, Jinan, China.
Guang YangBeijing Institute of Pharmacology and Toxicology, Beijing, China.
Ling GaoDepartment of Endocrinology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Jiajun ZhaoDepartment of Endocrinology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Shandong Provincial Hospital · CNShandong First Medical University · CNShandong Normal University · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Nonalcoholic fatty liver disease (NAFLD) is becoming a global public health challenge. A convenient NAFLD indicator will greatly facilitate risk appraisal and prevention. As a readily available and inexpensive hematological index in routine clinical examinations, red blood cells (RBCs) are gaining increasing attention in many diseases, such as metabolic syndrome, but their association with NAFLD is unknown. Methods: This health management cohort study included 27,112 subjects (17,383 non-NAFLD and 9,729 NAFLD) with up to 5 years of follow-up (median 2.8 years). NAFLD was diagnosed by ultrasonography. NAFLD severity was categorized as mild, moderate, or severe. The generalized estimation equation (GEE), an extension of generalized linear models that allows for analysis of repeated measurements, was used to analyze the association between RBC count and NAFLD. Results: Overall, 4,332 of 17,383 (24.9%) subjects without NAFLD at baseline developed NAFLD. Incident NAFLD risk was positively associated with RBC count. After adjustment for hemoglobin and other confounders, the risk of incident NAFLD was 21%, 32%, and 51% higher in the second, third, and fourth RBC count quartiles, respectively, than in the lowest quartile. In 1,798 of 9,476 (19.0%) subjects with NAFLD at baseline, the severity of NAFLD increased. NAFLD progression risk increased progressively as RBC count increased (P for trend < 0.001). Every one-unit (10 Conclusions: Elevated RBC count was independently associated with a high risk of NAFLD incidence and progression. This finding revealed a convenient NAFLD risk indicator.

Indexed as

AdultCohort StudiesErythrocytesFemaleHemoglobinsHumansIncidenceMaleMiddle AgedNon-alcoholic Fatty Liver DiseaseRisk FactorsUltrasonographyHemoglobinsgeneralized estimating equationindicatorlongitudinal cohort studynonalcoholic fatty liver diseasered blood cellrisk factor

Identifiers

PMID34950103
PMCPMC8688742
OpenAlexW4200546974

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.