Evidence map›Paper›PMID 27910095›Full record

Trial reportTransfusion2017

A comparison of methods for estimating the incidence of human immunodeficiency virus infection in repeat blood donors.

Donald J Brambilla, Michael P Busch, Roger Y Dodd, Simone A Glynn, Steven H Kleinman, National Heart, Lung, and Blood InstituteRecipient Epidemiology and Donor Evaluation Study-III (REDS-III)

Abstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Transfusion, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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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

6 authors at 5 institutions in 2 countries.

Donald J BrambillaRTI International, Rockville, Maryland.
Michael P BuschBlood Systems Research Institute, San Francisco, California.
Roger Y DoddMedical Office, American Red Cross, Rockville, Maryland.
Simone A GlynnBlood Epidemiology and Clinical Therapeutics Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Steven H KleinmanDepartment of Pathology, University of British Columbia, Victoria, British Columbia, Canada.
National Heart, Lung, and Blood InstituteRecipient Epidemiology and Donor Evaluation Study-III (REDS-III)
American Red Cross · USBlood Systems Research Institute · USNational Institutes of Health · USRTI International · USUniversity of British Columbia · CA

Funding

NHLBI NIH HHS HHSN268201100001INHLBI NIH HHS HHSN268201100002INHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100008INHLBI NIH HHS HHSN268201100009IWHI NIH HHS HHSN268201100001C
6 · The paper itself

Abstract

backgroundThe incidence of human immunodeficiency virus (HIV) in repeat blood donors has been estimated using seven methods. Although incidence is always calculated as cases per person-time, approaches to selecting cases and calculating person-time vary. Incidence estimates have not been compared among methods. STUDY DESIGN AND

methodsThe seven methods were compared in a simulation study. Because three methods used information from donations made before an estimation interval, 8 years of donation and infection history were simulated, and Years 7 and 8 were treated as the estimation interval for all methods. An exponential random variate was assigned to each donor to simulate the time to infection. Infection risk was constant over 8 years in one scenario but increased at various rates in seven other scenarios. The infection risk scenarios were combined with four mixes of donation frequency to generate 32 test conditions.

resultsThree methods produced biased estimates under all conditions. Three other methods were biased under most conditions. Bias from most methods increased as donation frequency declined. The single method that consistently produced unbiased estimates was the only method that involved the standard epidemiological approach of tabulating all interdonation intervals (IDIs) within the estimation interval. Bias was eliminated from one of the consistently biased methods by a simple modification that involved the average IDI in a sample of donors.

conclusionThe standard epidemiological approach is recommended if required data are available. Otherwise, the modified method involving the estimated average IDI should be considered. Investigators should use caution when comparing incidence estimates among studies that use different estimation methods or donation frequencies.

Indexed as

Blood DonorsHIV-1Models, BiologicalFemaleHIV InfectionsHumansIncidenceMale

Identifiers

PMID27910095
PMCPMC5368013
OpenAlexW2560789319

What OpenQuestion holds

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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.