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Record W2019346755 · doi:10.1016/s0029-7844(02)02446-8

Left lateral predisposition of endometriosis and endometrioma

2003· article· en· W2019346755 on OpenAlexaff
Haya Al-Fozan

Bibliographic record

VenueObstetrics and Gynecology · 2003
Typearticle
Languageen
FieldMedicine
TopicEndometriosis Research and Treatment
Canadian institutionsMcGill University
Fundersnot available
KeywordsEndometriosisMedicineOdds ratioConfidence intervalPelvisGynecologyOvarySurgeryInternal medicine

Abstract

fetched live from OpenAlex

To evaluate lateral distribution of endometriosis and ovarian endometrioma in women with endometriosis. We evaluated operative reports of women who underwent laparoscopic treatment of endometriosis (n = 330) and ovarian endometrioma (n = 185) from January 1996 to January 2002. Data on all operative findings consisted of a written report, a diagram, the revised American Fertility Society classification of endometriosis, and a printout of the dictated report. Endometriotic implants were confined to one side of the pelvis in 143 women and bilaterally in 187 others. Endometriosis was significantly more frequent in the left (64.3%) than in the right hemipelvis (P <.001, odds ratio 3.3, 95% confidence interval 2.0, 5.3). Of those with bilateral lesions, adhesions were also more frequently found on the left than on the right hemipelvis (16.6% versus 6.9%, P <.01, odds ratio 2.6, 95% confidence interval 1.3, 5.2). Endometrioma was found in the left ovary (n = 90), in the right ovary (n = 59), and bilaterally (n = 36). Left ovarian endometrioma was found more frequently (60.4%) than right endometrioma (P <.001, odds ratio 2.3, 95% confidence interval 1.5, 3.7). This trend was not related to the size of the endometrioma.Our results confirm a left lateral predisposition of endometriosis and ovarian endometrioma. It is possible that this is related to decreased fluid movement in the left side of the pelvis because of the presence of sigmoid colon. These findings may support the theory that the origin of endometriosis is from the regurgitated endometrial cells.

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)0.069
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.938

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.069
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.273
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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations95
Published2003
Admission routes1
Has abstractyes

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