Evidence map›Paper›PMID 32881316›Full record

Trial reportInternational journal of laboratory hematology2020

Establishing Ghanaian adult reference intervals for hematological parameters controlling for latent anemia and inflammation.

Abigail S A Bawua, Kiyoshi Ichihara, Rosemary Keatley, John Arko-Mensah, Yvonne Dei-Adomakoh, Patrick F Ayeh-Kumi, Rajiv Erasmus, Julius Fobil

Open access · hybridAbstract readClinical Trial
In one paragraph

Trial report in International journal of laboratory hematology, 2020. 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
0.8field-weighted citation impact, top 27% 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, 13 citations in OpenAlex.

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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

8 authors at 4 institutions in 4 countries.

Abigail S A BawuaDepartment of Biological, Environmental & Occupational Health Sciences, University of Ghana School of Public Health, Legon, Ghana.
Kiyoshi IchiharaDepartment of Clinical Laboratory Sciences, Faculty of Health Sciences, Yamaguchi University Graduate School of Medicine, Ube, Japan.ORCID https://orcid.org/0000-0002-6039-4537
Rosemary KeatleyMedlab Ghana Ltd. (A Member of Synlab), Accra, Ghana.
John Arko-MensahDepartment of Biological, Environmental & Occupational Health Sciences, University of Ghana School of Public Health, Legon, Ghana.
Yvonne Dei-AdomakohMedlab Ghana Ltd. (A Member of Synlab), Accra, Ghana.
Patrick F Ayeh-KumiDepartment of Microbiology, University of Ghana Medical School, College of Health Sciences, Korle-Bu, University of Ghana, Legon, Ghana.
Rajiv ErasmusDivision of Chemical Pathology, University of Stellenbosch, Cape Town, South Africa.
Julius FobilDepartment of Biological, Environmental & Occupational Health Sciences, University of Ghana School of Public Health, Legon, Ghana.
University of Ghana · GHSynlab Czech (Czechia) · CZStellenbosch University · ZAYamaguchi University · JP

Funding

Japan Society of Promotion of Science 16H02771
6 · The paper itself

Abstract

backgroundIn Ghana, diagnostic laboratories rely on reference intervals (RIs) provided by manufacturers of laboratory analyzers which may not be appropriate. This study aimed to establish RIs for hematological parameters in adult Ghanaian population.

methodsThis cross-sectional study recruited 501 apparently healthy adults from two major urban areas in Ghana based on the protocol by IFCC Committee for Reference Intervals and Decision Limits. Whole blood was tested for complete blood count (CBC) by Sysmex XN-1000 analyzer, sera were tested for iron and ferritin by Beckman-Coulter/AU480, for transferrin, vitamin-B12, and folate was measured by Centaur-XP/Siemen. Partitioning of reference values by sex and age was guided by "effect size" of between-subgroup differences defined as standard deviation ratio (SDR) based on ANOVA. RIs were derived using parametric method with application of latent abnormal values exclusion method (LAVE), a multifaceted method of detecting subjects with abnormal results in related parameters.

resultsUsing SDR ≥ 0.4 as a threshold, RIs were partitioned by sex for platelet, erythrocyte parameters except mean corpuscular constants, and iron markers. Application of LAVE had prominent effect on RIs for majority of erythrocyte and iron parameters. Global comparison of Ghanaian RIs revealed lower-side shift of RIs for leukocyte and neutrophil counts, female hemoglobin and male platelet count, especially compared to non-African countries.

conclusionThe LAVE effect on many hematological RIs indicates the need for deliberate secondary exclusion for proper derivation of RIs. Obvious differences in Ghanaian RIs compared to other countries underscore the importance of country-specific RIs for improved clinical decision-making.

Indexed as

AdolescentAdultAgedAnemiaBlood Cell CountCross-Sectional StudiesErythrocyte IndicesFemaleGhanaHumansInflammationIronMaleMiddle AgedReference ValuesIroncomplete blood countsiron markerslatent abnormal values exclusion methodlatent anemiamultiple regression analysisparametric methodSD-ratio

Identifiers

PMID32881316
PMCPMC7754426
OpenAlexW3083194014

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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.