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Record W2134424414

New approach to managing genital warts.

2013· review· en· W2134424414 on OpenAlexaff
Catharine C. Lopaschuk

Bibliographic record

VenuePubMed · 2013
Typereview
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGenital wartsMedicineImiquimodMEDLINEPopulationCochrane LibraryColposcopyClinical trialCervical cancerSystematic reviewGynecologyDermatologyMeta-analysisCancerInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To summarize and determine the appropriate use for the new and old management tools for genital warts. SOURCES OF INFORMATION: The following databases were searched: MEDLINE, PubMed, EMBASE, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, ACP Journal Club, and Trip. The bibliographies of retrieved papers were also reviewed. Clinical trials, qualitative review articles, consensus reports, and clinical practice guidelines were retrieved. MAIN MESSAGE: Symptomatic warts are prevalent in at least 1% of the population between the ages of 15 and 49, with estimates of up to 50% of the population being infected with human papillomavirus at some point in their lifetime. Imiquimod and podophyllotoxin are 2 new treatments for external genital warts that are less painful and can be applied by patients at home. In addition, the quadrivalent human papillomavirus vaccine has been shown to be efficacious in preventing genital warts and cervical cancer. There is still a role for the older treatment methods in certain situations, such as intravaginal, urethral, anal, or recalcitrant warts; or for pregnant patients. CONCLUSION: The new treatments of external genital warts can reduce the pain of treatment and the number of office visits. Other treatment methods are still useful in certain situations.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.945
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.187
GPT teacher head0.370
Teacher spread0.183 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations33
Published2013
Admission routes1
Has abstractyes

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