Evidence map›Paper›PMID 35851012›Full record

ArticleBMJ open2022

Prevalence of anaemia and the associated factors among hospitalised people living with HIV receiving antiretroviral therapy in Southwest China: a cross-sectional study.

Guiying Cao, Hai Long, Yuedong Liang, Jue Liu, Xiaoxin Xie, Yanhua Fu, Juan He, Su Song, Siqi Liu, Manna Zhang and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 33% 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

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

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. 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

16 authors at 1 institution in 1 country.

Guiying CaoDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing, China.
Hai LongDepartment of Infectious Diseases, Public Health Center of Guiyang, Guiyang, Guizhou, China.
Yuedong LiangDepartment of Infectious Diseases, Public Health Center of Guiyang, Guiyang, Guizhou, China.
Jue LiuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing, China.ORCID 0000-0002-1938-9365
Xiaoxin XieDepartment of Infectious Diseases, Public Health Center of Guiyang, Guiyang, Guizhou, China.
Yanhua FuDepartment of Infectious Diseases, Public Health Center of Guiyang, Guiyang, Guizhou, China.
Juan HeDepartment of Infectious Diseases, Public Health Center of Guiyang, Guiyang, Guizhou, China.
Su SongDepartment of Infectious Diseases, Public Health Center of Guiyang, Guiyang, Guizhou, China.
Siqi LiuDepartment of Infectious Diseases, Public Health Center of Guiyang, Guiyang, Guizhou, China.
Manna ZhangDepartment of Infectious Diseases, Public Health Center of Guiyang, Guiyang, Guizhou, China.
Yu WuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing, China.
Yaping WangDepartment of Infectious Diseases, Public Health Center of Guiyang, Guiyang, Guizhou, China.
Min DuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing, China.
Wenzhan JingDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing, China.
Jie YuanDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing, China.
Min LiuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing, China liumin@bjmu.edu.cn.ORCID 0000-0002-5059-3743
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo estimate anaemia prevalence and the associated factors among hospitalised people living with HIV (PLHIV) receiving antiretroviral therapy (ART).

designA cross-sectional study.

settingPLHIV receiving ART and hospitalised in a specialised hospital for infectious disease in Guizhou Province, Southwest China, between 1 January 2018 and 31 March 2021.

participantsA total of 6959 hospitalised PLHIV aged ≥18 years and receiving ART were included in this study. PRIMARY AND SECONDARY OUTCOME MEASURES: Anaemia was diagnosed as a haemoglobin concentration <120 g/L for non-pregnant females and <130 g/L for males. Mild, moderate and severe anaemia were diagnosed as below the gender-specific lower limit of normal but ≥110 g/L, 80-110 g/L and <80 g/L, respectively.

resultsThe prevalence of anaemia was 27.5%, and that of mild, moderate and severe anaemia was 9.2%, 12.2% and 6.1%, respectively. Results from multivariate logistic regression showed that females had increased odds of anaemia (adjusted OR (aOR)=1.60, 95% CI: 1.42 to 1.81) compared with males. Widowed or divorced inpatients (anaemia: aOR=1.26, 95% CI: 1.08 to 1.47; severe anaemia: aOR=1.52, 95% CI: 1.16 to 1.97) and thrombocytopenia inpatients (anaemia: aOR=4.25, 95% CI: 3.54 to 5.10; severe anaemia: aOR=4.16, 95% CI: 3.24 to 5.35) had increased odds of anaemia and severe anaemia compared with their counterparts. Hepatitis C was associated with increased odds of severe anaemia (aOR=1.80, 95% CI: 1.11 to 2.92).

conclusionsAnaemia was prevalent among hospitalised PLHIV. Female sex, those widowed or divorced, and thrombocytopenia were associated with increased odds of anaemia, and those widowed or divorced, thrombocytopenia and hepatitis C were associated with increased odds of severe anaemia. Determination of anaemia predictors, early detection and timely management of anaemia are crucial to prevent anaemia progression.

Indexed as

AnemiaHepatitis CHIV InfectionsThrombocytopeniaAdolescentAdultChinaCross-Sectional StudiesFemaleHepacivirusHumansMalePrevalenceRisk FactorsanaemiahaematologyHIV & AIDS

Identifiers

PMID35851012
PMCPMC9297216
OpenAlexW4285808297

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.