Evidence map›Paper›PMID 28178393›Full record

ArticleTransplant infectious disease : an official journal of the Transplantation Society2017

A model to estimate the probability of human immunodeficiency virus and hepatitis C infection despite negative nucleic acid testing among increased-risk organ donors.

Pallavi D Annambhotla, Brian M Gurbaxani, Matthew J Kuehnert, Sridhar V Basavaraju

Open access · greenAbstract read
In one paragraph

Article in Transplant infectious disease : an official journal of the Transplantation Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Observational
  3. Review
  4. Article
  5. Article
  6. Quantifying the risk of undetected HIV, hepatitis B virus, or hepatitis C virus infection in Public Health Service increased risk donors.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2019
    Article
  7. Clinical Vignettes: Donor-Derived Infections.Journal of the Pediatric Infectious Diseases Society · 2018
    Article
  8. 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

4 authors at 3 institutions in 2 countries.

Pallavi D AnnambhotlaOffice of Blood, Organ, and Other Tissue Safety, Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Brian M GurbaxaniOffice of the Associate Director for Science, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Matthew J KuehnertOffice of Blood, Organ, and Other Tissue Safety, Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Sridhar V BasavarajuOffice of Blood, Organ, and Other Tissue Safety, Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
National Center for Emerging and Zoonotic Infectious Diseases · USCenters for Disease Control and Prevention · USThe Centers · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundIn 2013, guidelines were released for reducing the risk of viral bloodborne pathogen transmission through organ transplantation. Eleven criteria were described that result in a donor being designated at increased infectious risk. Human immunodeficiency virus (HIV) and hepatitis C virus (HCV) transmission risk from an increased-risk donor (IRD), despite negative nucleic acid testing (NAT), likely varies based on behavior type and timing.

methodsWe developed a Monte Carlo risk model to quantify probability of HIV among IRDs. The model included NAT performance, viral load dynamics, and per-act risk of acquiring HIV by each behavior. The model also quantifies the probability of HCV among IRDs by non-medical intravenous drug use (IVDU).

resultsHighest risk is among donors with history of unprotected, receptive anal male-to-male intercourse with partner of unknown HIV status (MSM), followed by sex with an HIV-infected partner, IVDU, and sex with a commercial sex worker.

conclusionWith NAT screening, the estimated risk of undetected HIV remains small even at 1 day following a risk behavior. The estimated risk for HCV transmission through IVDU is likewise small and decreases quicker with time owing to the faster viral growth dynamics of HCV compared with HIV. These findings may allow for improved organ allocation, utilization, and recipient informed consent.

Indexed as

Models, TheoreticalAllograftsBlood-Borne PathogensDisease Transmission, InfectiousHepacivirusHepatitis CHIVHIV InfectionsHumansNucleic Acid Amplification TechniquesPractice Guidelines as TopicRiskRisk-TakingRNA, ViralSerologic TestsSex WorkRNA, Viralhepatitis C virushuman immunodeficiency virusincreased infectious riskincreased-risk donornucleic acid testing

Identifiers

PMID28178393
PMCPMC6263935
OpenAlexW2586845584

What OpenQuestion holds

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LicenceTDM
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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.