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Record W4387536741 · doi:10.2147/cia.s414799

Procedural Intervention for Benign Prostatic Hyperplasia in Men ≥ Age 70 Years – A Review of Published Literature

2023· review· en· W4387536741 on OpenAlexaff
Alia Codelia‐Anjum, Mohamad Baker Berjaoui, Adree Khondker, Dean Elterman, Kevin C. Zorn, Naeem Bhojani, Lori B. Lerner, Bilal Chughtai

Bibliographic record

VenueClinical Interventions in Aging · 2023
Typereview
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsUniversity of TorontoCentre Hospitalier de l’Université de MontréalUniversity Health Network
Fundersnot available
KeywordsMedicineScopusModalitiesMEDLINECochrane LibraryPopulationIntervention (counseling)Confidence intervalInternal medicine

Abstract

fetched live from OpenAlex

Objective: We set out to review studies reporting on the use of surgical intervention to treat Benign Prostatic Hyperplasia in elderly men ≥70 years of age. Methods: A systematic literature search was conducted using Scopus, PubMed-MEDLINE, Cochrane, and Wiley Online Library databases including studies published between January 2012 through December 2022. This 10-year interval was chosen given the recent plethora of new modalities that have entered the BPH armamentarium, many of which have been marketed as appropriate for older and high-risk patients. The following database search words were used either individually or in conjunction: "BPH", "elderly", "surgical", "ablation", "resection", "embolization", and "aging". Results: We identified 28 studies for inclusion in this review. The pros and cons of these modalities are presented, specifically as applicable to an older and higher risk population. Conclusion: There are a wide variety of surgical procedures available for surgically treating BPH in elderly men with varying states of health. Each of these comes with different risks and benefits, supporting that individualized approaches are important. Long-term data and further studies comparing modalities, specifically as regards the elderly and frail, would enhance our approaches to BPH treatment in this patient population.

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)0.006
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.410
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.242
GPT teacher head0.552
Teacher spread0.310 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations13
Published2023
Admission routes1
Has abstractyes

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