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Record W2741964908 · doi:10.1016/j.jsxm.2017.07.001

Association Between HIV Infection and Prevalence of Erectile Dysfunction: A Systematic Review and Meta-Analysis

2017· review· en· W2741964908 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Journal of Sexual Medicine · 2017
Typereview
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeta-analysisConfidence intervalChecklistCochrane LibraryCohort studyCross-sectional studyPopulationRelative riskObservational studyErectile dysfunctionInternal medicineCohortMEDLINEEnvironmental healthPathology

Abstract

fetched live from OpenAlex

BACKGROUND: The prevalence of erectile dysfunction (ED) in men positive for HIV has been reported to exceed the baseline of the general population. However, no meta-analysis or conclusive review has investigated whether individuals with HIV infection have a significantly higher prevalence of ED. AIM: To explore the exact association between HIV infection and the prevalence of ED. METHODS: The PubMed, Embase, Medline, and Cochrane Library databases were searched to identify studies concerning the association between HIV infection and the prevalence of ED that were published up to December 2016. Manual searches also were performed. Relative risks and corresponding 95% confidence intervals were used to estimate the strength of association between HIV infection and the prevalence of ED. The methodologic quality of the included cohort studies was assessed through the Newcastle-Ottawa Scale. The cross-sectional study quality methodology checklist was used to assess the quality of cross-sectional studies. Sensitivity analyses were conducted to assess potential bias. This study was conducted according to the guidelines for Meta-Analyses and Systematic Reviews of Observational Studies (MOOSE). OUTCOMES: The strength of association between HIV infection and the prevalence of ED was evaluated using summarized unadjusted pooled relative risks and 95% confidence intervals. RESULTS: = 84%, P < .001). Estimates of total effects were generally consistent with the sensitivity. CLINICAL IMPLICATIONS: Individuals with HIV infection had a significantly increased prevalence of ED, which suggests that ED should be of concern to clinicians when managing men with HIV infection. STRENGTHS AND LIMITATIONS: A strength of this study is that it is the first meta-analysis to explore the relation between HIV infection and the prevalence of ED. A limitation is that all included studies were observational studies, which can induce recall bias or selection bias. CONCLUSION: Evidence from the observational studies suggested that individuals with HIV infection had a significantly increased prevalence of ED despite significant heterogeneity. More research is warranted to clarify the relation between HIV infection and the prevalence of ED. Luo L, Deng T, Zhao S, et al. Association Between HIV Infection and Prevalence of Erectile Dysfunction: A Systematic Review and Meta-Analysis. J Sex Med 2017;14:1125-1132.

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.

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)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.733
Threshold uncertainty score0.708

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0090.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.249
GPT teacher head0.424
Teacher spread0.175 · 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