Evidence map›Paper›PMID 36730249›Full record

SynthesisPloS one2023

Anemia and its predictors among chronic kidney disease patients in Sub-Saharan African countries: A systematic review and meta-analysis.

Mitku Mammo Taderegew, Alemayehu Wondie, Tamene Fetene Terefe, Tadesse Tsehay Tarekegn, Fisha Alebel GebreEyesus, Shegaw Tesfa Mengist, Baye Tsegaye Amlak, Mamo Solomon Emeria, Abebe Timerga, Betregiorgis Zegeye

Open access · goldAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
4.4field-weighted citation impact, top 6% 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, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. 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 1 institution in 1 country.

Mitku Mammo TaderegewDepartment of Biomedical Sciences, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia.ORCID 0000-0002-0123-2677
Alemayehu WondieDepartment of Biomedical Sciences, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia.
Tamene Fetene TerefeDepartment of Nursing, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia.
Tadesse Tsehay TarekegnDepartment of Nursing, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia.
Fisha Alebel GebreEyesusDepartment of Nursing, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia.
Shegaw Tesfa MengistDepartment of Nursing, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia.
Baye Tsegaye AmlakDepartment of Nursing, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia.
Mamo Solomon EmeriaDepartment of Nursing, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia.
Abebe TimergaDepartment of Biomedical Sciences, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia.ORCID 0000-0002-2606-2918
Betregiorgis ZegeyeHaSET Maternal and Child Health Research Program, Shewarobit Field Office, Shewarobit, Ethiopia.
Wolkite University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAnemia is a serious complication of chronic kidney disease (CKD) with a significant adverse outcome on the burden and progression of the disease. Hence, the study intended to assess the pooled prevalence of anemia and its predictors among CKD patients in Sub-Saharan African nations.

methodsTo identify the relevant studies systematic searches were carried out in Medline, EMBASE, HINARI, Google Scholar, Science Direct, and Cochrane Library. From selected studies, data were taken out with a standardized data extraction format prepared in Microsoft Excel. Inverse variance (I2) tests were employed to evaluate the heterogeneity across the included studies. Due to substantial heterogeneity among the studies, a random-effects meta-analysis technique was employed to estimate the pooled prevalence of anemia. Subgroup analysis, sensitivity analysis, and meta-regression analysis were carried out to search the possible bases of heterogeneity. Funnel plot symmetry, Begg's test, and Egger's regression test were employed to assess the existence of publication bias. In addition, factors associated with anemia among CKD patients were examined. All statistical analyses were carried out with STATA™ Version 14 software.

resultsA total of 25 studies with 5042 study participants were considered in this study. The pooled prevalence of anemia among CKD patients was estimated to be 59.15% (95% CI, 50.02-68.27) with a substantial level of heterogeneity as evidenced by I2 statistics (I2 = 98.1%; p < 0.001). Stage of CKD (3-5) (pooled odds ratio (POR) = 5.33, 95% CI:4.20-6.76), presence of diabetes mellitus (POR = 1.75, 95% CI: 1.10-2.78), hemodialysis history (POR = 3.06, 95% CI: 1.63-5.73), and female sex (POR = 2.50, 95% CI: 1.76-3.55) were significantly related with anemia.

conclusionsMore than half of CKD patients were suffering from anemia. Stage of CKD, presence of DM, hemodialysis history, and being female sex were factors associated with anemia among CKD patients.

Indexed as

AnemiaDiabetes MellitusRenal Insufficiency, ChronicAfrica South of the SaharaEthiopiaFemaleHumansMalePrevalence

Identifiers

PMID36730249
PMCPMC9894480
OpenAlexW4318918439

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.