Evidence map›Paper›PMID 32456639›Full record

ArticleBMC health services research2020

Diagnostic accuracy of point-of-care devices for detection of anemia in community settings in India.

Sutapa Bandyopadhyay Neogi, Jyoti Sharma, Shivam Pandey, Nausheen Zaidi, Maitreyee Bhattacharya, Rakhee Kar, Sitanshu Sekhar Kar, Abhishek Purohit, Sanjib Bandyopadhyay, Renu Saxena

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  13. Observational
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  16. Anemia among Men in Malaysia: A Population-Based Survey in 2019.International journal of environmental research and public health · 2021
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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

10 authors at 5 institutions in 1 country.

Sutapa Bandyopadhyay NeogiIndian Institute of Public Health- Delhi, Delhi NCR, India. sutapa.bneogi@iiphd.org.ORCID https://orcid.org/0000-0002-2173-966X
Jyoti SharmaIndian Institute of Public Health- Delhi, Delhi NCR, India.ORCID https://orcid.org/0000-0003-2058-8019
Shivam PandeyIndian Institute of Public Health- Delhi, Delhi NCR, India.
Nausheen ZaidiIndian Institute of Public Health- Delhi, Delhi NCR, India.
Maitreyee BhattacharyaCalcutta Medical College, Kolkata, India.
Rakhee KarJIPMER, Puducherry, India.ORCID https://orcid.org/0000-0001-6041-1512
Sitanshu Sekhar KarJIPMER, Puducherry, India.ORCID https://orcid.org/0000-0001-7122-523X
Abhishek PurohitAIIMS, Jodhpur, India.
Sanjib BandyopadhyayCalcutta Medical College, Kolkata, India.
Renu SaxenaAIIMS, New Delhi, India.
Indian Institute of Public Health Gandhinagar · INJawaharlal Institute of Post Graduate Medical Education and Research · INMedical College and Hospital, Kolkata · INAll India Institute of Medical Sciences Jodhpur · INAll India Institute of Medical Sciences Raipur · IN

Funding

Department of Health Research (DHR), MOHFW FNOS 11011/02/2017-HR
6 · The paper itself

Abstract

backgroundAccurate diagnosis of anemia by community workers using a point-of-care device is a challenge. The objective of the study was to establish the diagnostic accuracy of point-of-care devices for detecting anemia in community settings.

methodsIt was diagnostic accuracy study with cross-sectional design on adult patients attending the outpatient department of rural/ urban health centres of Medical colleges from India. The index tests were HemoCue, TrueHb, Massimo's device and spectroscopic device, compared against autoanalyzer (gold standard). Accuracy was expressed by sensitivity, specificity, likelihood ratios, predictive values, area under the curve (AUC) and levels of agreement. For the diagnostic accuracy component, 1407 participants were recruited with a minimum of 600 for each device. An additional 200 participants were considered to elucidate the performance of devices in different weather conditions.

resultsHemoCue and TrueHb performed better than Massimo and spectroscopic devices. Detection of anemia by technicians was similar between TrueHb and HemoCue (AUC 0.92 v/s 0.90, p > 0.05). Community workers performed better with Hemocue for detecting anemia compared to TrueHb (AUC 0.92 v/s 0.90, p < 0.05). For detection of severe anemia, accuracy of TrueHb was significantly better with technicians (AUC 0.91 v/s 0.70; p < 0.05) and community workers (AUC 0.91 v/s 0.73; p < 0.05). HemoCue showed a bias or mean difference (95%CI) of 0.47 g/dl (0.42, 0.52) for all values, and 0.92 g/dl (0.82, 1.03) for severe anemia. For TrueHb, it was - 0.28 g/dl (- 0.37, - 0.20) for all readings, and 0.06 g/dl (- 0.52, 0.63) for severe anemia. TrueHb appeared to be more consistent across different weather conditions, although it overestimated Hb in extreme cold weather conditions.

conclusionFor detection of anemia, True Hb and HemoCue were comparable. For severe anemia, True Hb seemed to be a better and feasible point-of-care device for detecting anemia in the community settings.

Indexed as

Community Health ServicesPoint-of-Care SystemsAdultAnemiaCross-Sectional StudiesFemaleHumansIndiaMaleMiddle AgedSensitivity and SpecificityAnemiaCommunityDevicesDiagnosisHemoglobinInvasiveNon invasive

Identifiers

PMID32456639
PMCPMC7249358
OpenAlexW3032301644

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.