Evidence map›Paper›PMID 24014942›Full record

ArticleAsian journal of transfusion science2013

Seroprevalence of human immunodeficiency virus in north Indian blood donors using third and fourth generation Enzyme linked immunosorbent assay.

Sheetal Malhotra, Neelam Marwaha, Karan Saluja

Open access · diamondAbstract read
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Article in Asian journal of transfusion science, 2013. 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
0.5field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 10 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

3 authors at 1 institution in 1 country.

Sheetal MalhotraDepartment of Transfusion Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Neelam Marwaha
Karan Saluja
Post Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe percentage of HIV cases attributable to blood transfusion has decreased significantly in the last decade. The newer 4(th) generation Enzyme linked immunosorbent assay (ELISA) has been shown to have increased sensitivity compared to 3(rd) generation ELISA.

objectivesTo estimate the seroprevalence of HIV among blood donors using 4(th) generation ELISA assay and to compare it with the 3(rd) generation ELISA. MATERIALS AND

methodsThis prospective study involved 10,200 blood donors- 6,800 were voluntary donors (3400-students and 3400-non students) and 3400 were replacement donors. All blood units were tested with 3(rd) as well as 4(th) generation ELISA. All samples found reactive or in grey zone with either 3(rd) or 4(th) generation ELISA were retested by Western blot (WB).

resultsThe seroprevalence of HIV was estimated to be 1.37/1000 donations (0.14%) with 3(rd) generation ELISA compared to 3.62/1000 donations (0.36%) with 4(th) generation ELISA (p>0.05). The seroprevalence of HIV among voluntary donors was estimated to be 1.32/1000 donations (0.13%) with 3(rd) generation ELISA and 3.67/1000 donations (0.36%) with 4(th) generation ELISA. The prevalence of HIV among replacement donors was 1.47/1000 donations (0.15%) with 3(rd) generation ELISA and 3.52/1000 donations (0.35%) with 4(th) generation ELISA.

conclusion4(th) generation HIV ELISA detects a higher number of seroreactive donors compared to 3(rd) generation ELISA. However, larger studies are required with confirmatory tests for both 3(rd) and 4(th) generation ELISA for making any policy changes.

Indexed as

blood donorsEnzyme linked immunosorbent assayHuman immunodeficiency virustransfusion associated HIV/AIDSwindow period

Identifiers

PMID24014942
PMCPMC3757772
OpenAlexW2011772332

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.