Evidence map›Paper›PMID 40937010›Full record

ReviewHealth science reports2025

A Comparative Analysis of Haemoglobinopathy Diagnostic Techniques-The Ghanaian Picture and the Way Forward: A Narrative Review.

Stephen Twumasi, Angela Opoku, Allwell Adofo Ayirebi, Esther Serwaa, Daniel Nii Martey Antonio

Abstract readReview
In one paragraph

Review in Health science reports, 2025. 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. Review
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

5 authors.

Stephen TwumasiDepartment of Medical Diagnostic Kwame Nkrumah University of Science and Technology Kumasi Ghana.ORCID https://orcid.org/0009-0002-8199-5806
Angela OpokuLaboratory Unit Komfo Anokye Teaching Hospital Kumasi Ghana.
Allwell Adofo AyirebiKuntanase Government Hospital Bosomtwe Ghana.ORCID https://orcid.org/0009-0005-0805-9829
Esther SerwaaLegacy Hospital Kumasi Ghana.
Daniel Nii Martey AntonioKumasi South Hospital Kumasi Ghana.ORCID https://orcid.org/0000-0002-8953-5700

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction and Aim: Although there are efficient methods for diagnosing haemoglobinopathies all over the world, their widespread application in Ghana is constrained by cost, infrastructure issues, and restricted access. In this narrative review, haemoglobinopathy diagnostic methods are compared, including assessment of their use in Ghanaian healthcare. In addition, methods to enhance early diagnosis and disease treatment are suggested. Methods: A narrative review of papers published on haemoglobinopathies screening, and haemoglobin variants diagnosis were culled from three search engines, namely, PubMed, Mendeley, and Google Scholar. The search was limited to studies done in humans only and no language restrictions were used. Thematic Overview: In Ghana, traditional techniques like cellulose acetate haemoglobin electrophoresis are still the most popular, whereas more advanced techniques like molecular diagnostics, isoelectric focusing, and high-performance liquid chromatography (HPLC) are not available. Novel point-of-care diagnostics are not yet commonly used, but they have potential for adoption in rural areas. Discussion and Conclusion: Increased infant and prenatal screening programs, molecular techniques and point-of-care testing investments, healthcare worker training, and primary care integration are all necessary to improve haemoglobinopathy diagnosis in Ghana.

Indexed as

haemoglobinhaemoglobinopathieshaemoglobin variantssickle cell diseasesthalassaemia

Identifiers

PMID40937010
PMCPMC12420352

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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.