Evidence map›Paper›PMID 42104276›Full record

ArticleBMC infectious diseases2026

Determinants of blood transfusion-transmitted infections in donated blood.

Collince Odiwuor Ogolla, Bernard Guyah, Apollo O Maima

Abstract read
In one paragraph

Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Collince Odiwuor OgollaSchool of Public Health & Community Development, Maseno University, P.O. Box 3275-40100, Maseno, Kenya. ogollacollince@gmail.com.ORCID http://orcid.org/0000-0001-6176-8935
Bernard GuyahSchool of Public Health & Community Development, Maseno University, P.O. Box 3275-40100, Maseno, Kenya.
Apollo O MaimaSchool of Pharmacy, Maseno University, P.O. Box 3275-40100, Maseno, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBlood transfusions which save lives through their essential function bring infection risks to users especially in areas with limited medical resources.

objectiveThe research study aimed to determine the main factors that cause blood transfusion-transmitted infections in donated blood.

methodsThis was a cross-sectional study among voluntary blood donors. Blood tests were conducted on samples from the study to detect common transfusion-transmitted infections which included Hepatitis B (HBV) Hepatitis C (HCV) HIV Syphilis and Malaria. Data on demographic characteristics and health history information was collected using a structured questionnaire. Descriptive statistics and multivariate logistic regression were used to identify the risk factors for association with TTI.

resultsThe study discovered that TTIs exist in low levels because they found Hepatitis B in 1.85% of samples and Malaria in 2.78% of samples. The study identified three main risk factors which led to transfusion infections through previous surgery (odds ratio [OR] = 2.1), multiple blood donations (OR = 1.8), and unscreened donor history (OR = 3.4). The research identified three main factors which determine blood transfusion infection risk.

conclusionThe implementation of better donor screening processes together with educational programs and infection control strategies will effectively decrease the risk associated with transfusions. CLINICAL TRIAL: N/A.

Indexed as

Blood-Borne InfectionsBlood DonorsTransfusion ReactionAdolescentAdultBlood DonationBlood TransfusionCross-Sectional StudiesFemaleHepatitis BHepatitis CHIV InfectionsHumansMalariaMaleMiddle AgedBloodBlood donationBlood donorsTransfusion-transmitted Infections

Identifiers

PMID42104276
PMCPMC13326557

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Registered trials

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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.