Evidence map›Paper›PMID 42720037›Full record

ArticleBioMed research international2026

Association Between Haemoglobin Variant Phenotypes and Red Blood Cell Parameters Among Pregnant Women: A Hospital-Based Cross-Sectional Study in Ghana.

Gabriel Abbam, Bertrand Nii Martey Nmeterson, Samuel Kwasi Appiah, Charles Nkansah, Moses Banyeh, Samira Daud, Muniru Mohammed Tanko, Felix Osei-Boakye, Sophia Owusua Amankwah, Simon Bannison Bani and 1 more

Abstract read
In one paragraph

Article in BioMed research international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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No citing paper in PubMed yet.

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

11 authors.

Gabriel AbbamDepartment of Haematology, School of Allied Health Sciences, University for Development Studies, Tamale, Ghana, uds.edu.gh.ORCID https://orcid.org/0009-0004-6367-7163
Bertrand Nii Martey NmetersonDepartment of Biomedical Laboratory Sciences, School of Allied Health Sciences, University for Development Studies, Tamale, Ghana, uds.edu.gh.ORCID https://orcid.org/0009-0007-7522-9431
Samuel Kwasi AppiahDepartment of Haematology, School of Allied Health Sciences, University for Development Studies, Tamale, Ghana, uds.edu.gh.ORCID https://orcid.org/0000-0003-1855-5840
Charles NkansahDepartment of Haematology, School of Allied Health Sciences, University for Development Studies, Tamale, Ghana, uds.edu.gh.ORCID https://orcid.org/0000-0001-6986-9976
Moses BanyehDepartment of Biomedical Laboratory Sciences, School of Allied Health Sciences, University for Development Studies, Tamale, Ghana, uds.edu.gh.ORCID https://orcid.org/0000-0003-3594-6077
Samira DaudDepartment of Haematology, School of Allied Health Sciences, University for Development Studies, Tamale, Ghana, uds.edu.gh.ORCID https://orcid.org/0000-0003-0133-1760
Muniru Mohammed TankoDepartment of Immunology and Immunodiagnostics, School of Allied Health Sciences, University for Development Studies, Tamale, Ghana, uds.edu.gh.ORCID https://orcid.org/0000-0002-0487-8465
Felix Osei-BoakyeDepartment of Medical Laboratory Sciences, Faculty of Health Science and Technology, Ebonyi State University, Abakaliki, Nigeria, ebsu-edu.net.ORCID https://orcid.org/0000-0001-5126-7424
Sophia Owusua AmankwahDepartment of Biomedical Laboratory Sciences, School of Allied Health Sciences, University for Development Studies, Tamale, Ghana, uds.edu.gh.ORCID https://orcid.org/0009-0006-3752-7270
Simon Bannison BaniDepartment of Biomedical Laboratory Sciences, School of Allied Health Sciences, University for Development Studies, Tamale, Ghana, uds.edu.gh.ORCID https://orcid.org/0000-0002-6713-6653
Ejike Felix ChukwurahDepartment of Medical Laboratory Sciences, Faculty of Health Science and Technology, Ebonyi State University, Abakaliki, Nigeria, ebsu-edu.net.ORCID https://orcid.org/0000-0001-5485-3453

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Haemoglobin (Hb) variants arising from mutations in globin chains can alter red blood cell (RBC) parameters. This may complicate the interpretation of pregnancy-related haematological changes, particularly in sub-Saharan Africa, where both anaemia in pregnancy and Hb variants are highly prevalent. The association between these variants and red cell parameters among Ghanaian pregnant women remains insufficiently characterised. This cross-sectional study investigated the association between Hb variant phenotypes and red cell parameters, and assessed whether such variants were independently associated with anaemia among 400 pregnant women at the Ga West Municipal Hospital, Greater Accra Region, Ghana. Full blood counts and Hb phenotyping by cellulose acetate electrophoresis at pH 8.4 were performed. Multivariable linear and Firth's penalised-likelihood logistic regression models, adjusted for maternal age, body mass index, gestational trimester, parity and haematinic supplementation, were used to estimate associations. Phenotype distribution was HbA 73.2%, HbAS/HbAC 25.3% and HbS/HbC/HbSC 1.5%; anaemia prevalence was 87.5%. Compared with HbA, HbAS/HbAC carriers had lower haematocrit (adjusted β = -1.14%, p = 0.036), mean cell volume (adjusted β = -4.05 fL, p < 0.001), mean cell Hb (adjusted β = -0.89 pg, p = 0.005) and red cell distribution width-standard deviation (RDW-SD) (adjusted β = -2.79 fL, p < 0.001); HbS/HbC/HbSC reductions were larger for haematocrit (adjusted β = -6.29%, p = 0.005) and mean cell volume (adjusted β = -6.87 fL, p = 0.001). Hb phenotype was not independently associated with anaemia, but the adjusted odds of anaemia in the second trimester were significantly higher than in the first (adjusted odds ratio = 3.45, p = 0.001). Hb variant phenotypes were associated with a microcytic, hypochromic red cell profile, whereas gestational trimester, rather than phenotype, was the dominant correlate of anaemia. Given the single-centre, cross-sectional design and the small number of pregnant women with homozygous or compound heterozygous phenotypes, these findings are hypothesis-generating. They support phenotype- and trimester-aware interpretation of red cell parameters in antenatal care; however, whether such interpretation improves maternal outcomes requires evaluation in larger, multicentre studies.

Indexed as

AnemiaErythrocytesHemoglobinsHemoglobins, AbnormalPregnancy Complications, HematologicAdultCross-Sectional StudiesFemaleGhanaHemoglobin, SickleHumansPhenotypePregnancyHemoglobinsHemoglobins, AbnormalHemoglobin, Sickle

Identifiers

PMID42720037
PMCPMC13559796

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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.