Evidence map›Paper›PMID 19667054›Full record

ArticleInternational journal of epidemiology2009

Estimating the odds ratio when exposure has a limit of detection.

Stephen R Cole, Haitao Chu, Lei Nie, Enrique F Schisterman

Open access · bronzeAbstract read
In one paragraph

Article in International journal of epidemiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

64 citing papers in PubMed, 124 citations in OpenAlex.

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  8. Radiodensities of Skeletal Muscle and Visceral Adipose Tissues Are Prognostic Factors in Clear-Cell Renal Cell Carcinoma.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
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4 more citing papers are in PubMed but not listed here.

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 1 country.

Stephen R ColeDepartment of Epidemiology and Center for AIDS Research, University of Northern California at Chapel Hill, NC, USA. cole@unc.edu
Haitao Chu
Lei Nie
Enrique F Schisterman
University of North Carolina at Chapel Hill · USNational Institutes of Health · USUnited States Food and Drug Administration · US

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI David Darr · 1985 to 2026
$201.5M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
EAGeR Trial - The Effects of Aspirin in Gestation and Reproduction TrialZIAHD008795 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI PERKINS, NEIL · 2009 to 2025
$9.6M
Oxidative Stress, Hormones and Women s HealthZIAHD008762 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI PERKINS, NEIL · 2009 to 2025
$3.1M
ROC Curve MethodologyZIAHD008761 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI SCHISTERMAN, ENRIQUE F. · 2009 to 2021
$2.1M
Structural models and direct and indirect effects of alcohol use on HIV infectionR01AA017594 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COLE, STEPHEN R · 2008 to 2010
$987k
Structural Models to Bridge Observational and Randomized Evidence: HAART and AIDSR03AI071763 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COLE, STEPHEN R · 2007 to 2008
$156k
Intramural NIH HHSNCI NIH HHS CA16086NIAAA NIH HHS R01-AA-017594NIAID NIH HHS P30-AI-50410NIAID NIH HHS R03-AI-071763
6 · The paper itself

Abstract

backgroundIn epidemiologic research, little emphasis has been placed on methods to account for left-hand censoring of 'exposures' due to a limit of detection (LOD).

methodsWe calculate the odds of anti-HIV therapy naiveté in 45 HIV-infected men as a function of measured log(10) plasma HIV RNA viral load using five approaches including ad hoc methods as well as a maximum likelihood estimate (MLE). We also generated simulations of a binary outcome with 10% incidence and a 1.5-fold increased odds per log increase in a log-normally distributed exposure with 25, 50 and 75% of exposure data below LOD. Simulated data were analysed using the same five methods, as well as the full data.

resultsIn the example, the estimated odds ratio (OR) varied by 1.22-fold across methods, from 1.45 to 1.77 per log(10) copies of viral load and the standard error for the log OR varied by 1.52-fold across methods, from 0.31 to 0.47. In the simulations, use of full data or the MLE was unbiased with appropriate confidence interval (CI) coverage. However, as the proportion of exposure below LOD increased, substituting LOD, LOD/ radical 2 or LOD/2 was increasingly biased with increasingly inappropriate CI coverage. Finally, exclusion of values below LOD was unbiased but imprecise.

conclusionsIn this example and the settings explored by simulation, and among methods readily available to investigators (i.e. sans full data), the MLE provided an unbiased and appropriately precise estimate of the exposure-outcome OR.

Indexed as

Limit of DetectionOdds RatioViral LoadAdultBiasBiomarkersComputer SimulationData Interpretation, StatisticalHIV InfectionsHumansIncidenceLikelihood FunctionsMaleMiddle AgedMonte Carlo MethodRNA, ViralBiomarkersRNA, Viral

Identifiers

PMID19667054
PMCPMC2786252
OpenAlexW2130011777

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.