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Record W7073944066

The association between lack of male circumcision and risk for HIV infection: a review of the epidemiological data.

2013· article· en· W7073944066 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Nairobi Research Archive (University of Nairobi) · 2013
Typearticle
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsEpidemiologyMale circumcisionForeskinHuman immunodeficiency virus (HIV)Sexually transmitted diseaseOutpatient clinicProspective cohort studySidaRelative riskPublic health
DOInot available

Abstract

fetched live from OpenAlex

Whether male circumcision reduces the risk of acquiring human immunodeficiency virus (HIV) infection remains controversial.
\nSTUDY DESIGN:
\nAs there have now been a number of studies conducted that have examined this issue, we undertook to review their findings. Thirty epidemiological studies identified in the literature that investigated the association between male circumcision status and risk for HIV infection were reviewed.
\nRESULTS:
\nEighteen cross-sectional studies from six countries reported a statistically significant association, four studies from four countries found a trend toward an association. Four studies from two countries found no association. Two prospective studies reported significant associations, as did two ecological studies. In studies in which significant associations were demonstrated, measures of increased risk ranged from 1.5 to 8.4. The groups in which positive associations were found included sexually transmitted disease (STD) clinic and hospital patients, outpatient clinic and HIV screening clinic attenders, long-distance truck drivers, and general community members.
\nCONCLUSION:
\nPotential sources of error, assessment of causality, implications of the findings, and future research needs are discussed. Because a substantial body of evidence links noncircumcision in men with risk for HIV infection, consideration should be given to male circumcision as an intervention to reduce HIV transmission.
\nPIP:
\nPhysicians from Kenya and Canada searched the MEDLINE and the MacMillan New Media AIDS CD-ROM databases to identify and review all the published literature examining the association between male circumcision and the risk for HIV infection. They found 30 epidemiological studies. Eighteen cross-sectional studies from the Cote d'Ivoire, Kenya, Rwanda, Uganda, US, and Zambia reported a significant association between the presence of the foreskin and risk for HIV infection (e.g., odds ratio = 2.4; p = .05 among male sexually transmitted disease [STD] patients in Zambia). These studies reported an increased risk (odds ratios or relative risks) ranging from 1.5 to 8.4. Four other cross-sectional studies (The Gambia, Mexico, Tanzania, and the US) found a trend towards an association. No association existed in 4 other studies (2 from Rwanda and 2 from Tanzania). The 2 prospective studies (both from Kenya) and the 2 ecological studies from Africa reported positive associations between presence of the foreskin and risk for HIV infection. 26 of the 28 nonecological studies examined HIV-1, while the other 2 examined both HIV-1 and HIV-2. All but 2 studies looked at heterosexual transmission. Population groups studied included male STD patients, male patients of hospital outpatient clinics, male patients of a hospital casualty department, male long-distance truck drivers, heterosexual and homosexual men attending HIV screening clinics, men living in rural communities, women attending family planning clinics, and women with pelvic inflammatory disease. Potential sources of error in the studies were sexual behavior related to religious practice or ethnicity, misclassification of circumcision status where it cannot be directly observed, and STDs. These findings suggest that, since current measures to reduce HIV transmission are not sufficiently effective, it may useful, at least in the short term, to introduce or expand the practice of male circumcision

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score0.653

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.110
GPT teacher head0.334
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2013
Admission routes1
Has abstractyes

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