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Record W2111299156 · doi:10.1093/humrep/deg514

Concentration of soluble intercellular adhesion molecule-1 in serum samples from patients with endometriosis collected during the luteal phase of the menstrual cycle

2003· article· en· W2111299156 on OpenAlexaff
Ann‐Muriel Steff

Bibliographic record

VenueHuman Reproduction · 2003
Typearticle
Languageen
FieldMedicine
TopicEndometriosis Research and Treatment
Canadian institutionsBioPhage Pharma (Canada)
Fundersnot available
KeywordsEndometriosisLuteal phaseConfoundingMenstrual cycleMedicineInternal medicineGastroenterologyStage (stratigraphy)EndocrinologyPhysiologyGynecologyFollicular phaseHormoneBiology

Abstract

fetched live from OpenAlex

BACKGROUND: Soluble intercellular adhesion molecule-1 (sICAM-1), released by endometriotic lesions, is involved in the regulation of cytotoxic processes. Altered levels of sICAM-1 in the circulation could parallel its deregulation in the peritoneal cavity. We therefore investigated whether sICAM-1 could represent a serum marker for endometriosis. METHODS: sICAM-1 levels were measured by enzyme-linked immunosorbent assay in serum samples from 176 subjects with surgically confirmed endometriosis (134 patients with stage I-II and 42 patients with stage III-IV) and 198 controls with no surgical evidence of the disease. All serum samples were collected during the luteal phase of the menstrual cycle. Detailed information about demographics, symptoms and clinical profile were collected. RESULTS: Mean levels of sICAM-1 appeared significantly reduced in patients with stage III-IV endometriosis in a crude comparison of means. However, when means were adjusted for potential confounders such as the pre-operative indication or fertility status, no significant difference between cases with stage III-IV disease and controls was observed. CONCLUSIONS: Serum levels of sICAM-1 during the luteal phase of the cycle are not able to discriminate women suffering from endometriosis from controls when confounders are taken into account. These results underline the importance of careful identification of confounders, based on patients' demographic and clinical data in studies aiming at discovering diagnostic markers for endometriosis.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.164
Threshold uncertainty score0.241

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.023
GPT teacher head0.279
Teacher spread0.256 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations21
Published2003
Admission routes1
Has abstractyes

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