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Record W3105286712 · doi:10.1016/j.jsxm.2020.09.009

Behavior-Related Erectile Dysfunction: A Systematic Review and Meta-Analysis

2020· review· en· W3105286712 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 · 2020
Typereview
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsnot available
Fundersnot available
KeywordsScopusErectile dysfunctionMedicineMeta-analysisAffect (linguistics)PopulationClinical psychologySample size determinationGerontologySystematic reviewMEDLINEPsychologyEnvironmental healthPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Erectile dysfunction (ED) is a common problem among men across the world. It is usually multifactorial in origin. Behavioral factors can be related to the development of ED and related to many other chronic diseases. It impacts not only the sexual function but also the psychology and their overall quality of life. AIM: To determine the association of the behavior factors in relation to ED and to identify the risk and protective factors. METHOD: A systematic review search based on Preferred Reporting Items for Systematic Reviews and Meta-Analysis was conducted. The primary databases PubMed, PlosOne, Oxford Academic, SCOPUS, and Ovid were accessed using specific keyword searches. Quality of articles was assessed by using Newcastle-Ottawa Assessment Scale according to the study design. OUTCOME: Evaluation of the relationship between behavioral factors and ED. RESULTS: 24 studies were identified from the 5 databases which met the predetermined criteria. Overall, the study population include adult male age between 18 and 80 years. The sample size of the studies ranges from 101 to the largest sample size of 51,329. Smoking, alcohol, and drugs usage are found to be risk factors for ED. Meanwhile, dietary intake, physical activity, and intimacy are the protective factors for ED. CLINICAL IMPLICATION: The findings from this review may aid clinicians to aim for early detection of ED by screening their risk factors and providing early treatment. This can also be used to promote awareness to the community on the sexual health and factors that can affect their sexual function. STRENGTH & LIMITATION: This study looks at all types of behavioral factors that may affect ED; however, there was a substantial heterogeneity detected across the selected study factors. Furthermore, the lack of PROSPERO registration is also a limitation in this study. CONCLUSION: Overall, smoking, dietary intake, alcohol consumption, drugs, and physical activities are modifiable risk factors for ED in men. Therefore, it is crucial to promote healthy lifestyle and empower men to prevent ED and early detection of ED for early treatment. Sivaratnam L, Selimin DS, Abd Ghani SR, et al. Behavior-Related Erectile Dysfunction: A Systematic Review and Meta-Analysis. J Sex Med 2021;18:121-143.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.569
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0160.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.185
GPT teacher head0.400
Teacher spread0.214 · 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