Evidence map›Paper›PMID 26192782›Full record

ArticleBlood transfusion = Trasfusione del sangue2015

Profiles of blood and blood component transfusion recipients in Zimbabwe.

Nyashadzaishe Mafirakureva, Star Khoza, Oliver Hassall, Brian E Faragher, Isaac Kajja, David A Mvere, Jean C Emmanuel, Maarten J Postma, Marinus van Hulst

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In one paragraph

Article in Blood transfusion = Trasfusione del sangue, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
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  4. Anaemia in pregnancy: A survey of prevalence and associated factors in Vhembe District, South Africa.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2025
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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

9 authors at 6 institutions in 4 countries.

Nyashadzaishe MafirakurevaUnit of Pharmaco-Epidemiology & Pharmaco-Economics (PE2), Department of Pharmacy, University of Groningen, Groningen, The Netherlands.
Star KhozaDepartment of Clinical Pharmacology, University of Zimbabwe, Harare, Zimbabwe.
Oliver HassallLiverpool School of Tropical Medicine, Liverpool, United Kingdom.
Brian E FaragherLiverpool School of Tropical Medicine, Liverpool, United Kingdom.
Isaac KajjaDepartment of Orthopaedics, Makerere University, Kampala, Uganda.
David A MvereNational Blood Service Zimbabwe, Harare, Zimbabwe.
Jean C EmmanuelNational Blood Service Zimbabwe, Harare, Zimbabwe.
Maarten J PostmaUnit of Pharmaco-Epidemiology & Pharmaco-Economics (PE2), Department of Pharmacy, University of Groningen, Groningen, The Netherlands.
Marinus van HulstUnit of Pharmaco-Epidemiology & Pharmaco-Economics (PE2), Department of Pharmacy, University of Groningen, Groningen, The Netherlands.
Liverpool School of Tropical Medicine · GBNational Blood Service Zimbabwe · ZWUniversity of Groningen · NLMakerere University · UGUniversity Medical Center Groningen · NLUniversity of Zimbabwe · ZW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are limited published data on the characteristics of blood transfusion recipients in sub-Saharan Africa. This study describes the demographic characteristics of blood transfusion recipients and patterns of blood and blood component use in Zimbabwe. MATERIALS AND

methodsData on the characteristics of the blood transfusion recipients (age, sex, blood group), blood components received (type, quantity), discharge diagnoses and outcomes following transfusion (discharge status, duration of stay in hospital), were retrospectively collected from four major hospitals for the period from January 1, 2012 to December 31, 2012. Diagnoses were grouped into broad categories according to the disease headings of the International Classification of Diseases (ICD-10). Surgical procedures were grouped into broad categories according to organ system using ICD-9.

resultsMost of the 1,793 transfusion recipients studied were female (63.2%) and in the reproductive age group, i.e. 15-49 years (65.3%). The median age of the recipients was 33 years (range, 0-93). The majority of these recipients (n=1,642; 91.6%) received a red blood cell transfusion. The majority of the patients were diagnosed with conditions related to pregnancy and childbirth (22.3%), and diseases of blood and blood-forming organs (17.7%). The median time spent in hospital was 8 days (range, 0-214) and in-hospital mortality was 15.4%. DISCUSSION: Our sample of blood transfusion recipients were fairly young and most of them received red blood cell transfusions. The majority of patients in the reproductive age group received blood transfusions for pregnancy and childbirth-related diagnoses.

Indexed as

Blood TransfusionAdolescentAdultAgedAged, 80 and overAge DistributionBlood Component TransfusionChildChild, PreschoolFemaleHematologic DiseasesHospital MortalityHospitals, PrivateHospitals, PublicHospitals, UrbanHumans

Identifiers

PMID26192782
PMCPMC4624536
OpenAlexW2163898127

What OpenQuestion holds

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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.