Evidence map›Paper›PMID 34330759›Full record

ArticleBMJ global health2021

Preanalytic and analytic factors affecting the measurement of haemoglobin concentration: impact on global estimates of anaemia prevalence.

Leila M Larson, Sabine Braat, Mohammed Imrul Hasan, Martin N Mwangi, Fernando Estepa, Sheikh Jamal Hossain, Danielle Clucas, Beverley-Ann Biggs, Kamija S Phiri, Jena Derakhshani Hamadani and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  5. Time for Paradigm Shift in Anemia Assessment?Advances in nutrition (Bethesda, Md.) · 2024
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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

11 authors at 6 institutions in 4 countries.

Leila M LarsonDepartment of Health Promotion, Education, and Behavior, University of South Carolina, Columbia, South Carolina, USA larsonl@mailbox.sc.edu.ORCID 0000-0002-2570-7323
Sabine BraatCentre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Victoria, Australia.
Mohammed Imrul HasanMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research Bangladesh, Dhaka, Bangladesh.
Martin N MwangiSchool of Public Health and Family Medicine, University of Malawi College of Medicine, Blantyre, Malawi.
Fernando EstepaThe Royal College of Pathologists of Australasia Quality Assurance Program, Melbourne, Victoria, Australia.
Sheikh Jamal HossainMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research Bangladesh, Dhaka, Bangladesh.
Danielle ClucasPopulation Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia.
Beverley-Ann BiggsDepartment of Infectious Diseases at the Peter Doherty Institute, The University of Melbourne, Melbourne, Victoria, Australia.
Kamija S PhiriSchool of Public Health and Family Medicine, University of Malawi College of Medicine, Blantyre, Malawi.
Jena Derakhshani HamadaniMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research Bangladesh, Dhaka, Bangladesh.
Sant-Rayn PasrichaPopulation Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia.
International Centre for Diarrhoeal Disease Research · BDThe Royal Melbourne Hospital · AUUniversity of Malawi · MWRoyal College of Pathologists of Australasia · AUThe University of Melbourne · AUUniversity of South Carolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accuracy of haemoglobin concentration measurements is crucial for deriving global anaemia prevalence estimates and monitoring anaemia reduction strategies. In this analysis, we examined and quantified the factors affecting preanalytic and analytic variation in haemoglobin concentrations. Using cross-sectional data from three field studies (in children, pregnant and nonpregnant women), we examined the difference in haemoglobin concentration between venous-drawn and capillary-drawn blood measured by HemoCue (ie, preanalytic) and modelled how the bias observed may affect anaemia prevalence estimates in population surveys and anaemia public health severity classification across countries. Using data from an international quality assurance programme, we examined differences due to instrumentation from 16 different haematology analyzers (ie, analytic). Results indicated that capillary and venous haemoglobin concentrations are not in agreement (bias +5.7 g/L (limits of agreement (LoA) -11.2, 22.6) in preschool age children; range from -28 g/L to +20 g/L in pregnant women; bias +8.8 g/L (LoA -5.2, 22.9) in non-pregnant women). The bias observed could introduce changes in population survey estimates of anaemia of up to -20.7 percentage points in children and -28.2 percentage points in non-pregnant women after venous adjustment. Analytic variation was minimal and unlikely to influence the diagnosis of anaemia. These findings suggest that global estimates of anaemia prevalence derived from capillary haemoglobin, as they often are, may be inaccurate and lead to erroneous public health severity classification, but that point-of-care, or other, instruments should not introduce variation if properly used.

Indexed as

AnemiaChildChild, PreschoolCross-Sectional StudiesFemaleHemoglobinsHumansPregnancyPrevalenceHemoglobinsanaemiadiagnostics and tools

Identifiers

PMID34330759
PMCPMC8327809
OpenAlexW3183289228

What OpenQuestion holds

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LicenceCC BY
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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.