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Record W4400517744 · doi:10.1159/000539931

Diagnosis and Management of Pelvic Congestion Syndrome: Comprehensive Review

2024· review· en· W4400517744 on OpenAlexaff
Baydaa Alsannan, Ahmad Alzeeny, Andrea Etrusco, Antonio Simone Laganà, Togas Tulandi

Bibliographic record

VenueGynecologic and Obstetric Investigation · 2024
Typereview
Languageen
FieldMedicine
TopicDiagnosis and Treatment of Venous Diseases
Canadian institutionsMcGill University
FundersKuwait University
KeywordsPelvic painMedicineEtiologyIntensive care medicineSurgeryPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Pelvic congestion syndrome (PCS) is a poorly understood condition that can be associated with chronic pelvic pain and could impact quality of life. The diagnosis is often made by exclusion of other causes of pelvic pain. OBJECTIVE: The purpose of our review was to provide an update on the etiology, anatomy, physiology, identification, and the therapeutic management of PCS. METHOD: We conducted a literature review involving publications from 2003 to 2024 in PubMed, Elsevier, MEDLINE, as well as manual searches of primary and review articles using keywords such as "pelvic veins", "embolization", "venography", "pelvic congestion syndrome", and "chronic pelvic pain". CONCLUSION: PCS remains poorly understood. Symptoms can be non-specific and difficult to distinguish from other diseases; yet it is an important cause of chronic pelvic pain in women. To date, there have been only a small number of randomized trials and high-level evidence is still lacking. OUTLOOK: We call for an increased awareness of PCS and additional clinical studies in a large number of patients.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.005
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.086
GPT teacher head0.344
Teacher spread0.258 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations7
Published2024
Admission routes1
Has abstractyes

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