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Record W3159017412 · doi:10.1097/pgp.0000000000000791

Survey on Reporting of Endometrial Biopsies From Women on Progestogen Therapy for Endometrial Atypical Hyperplasia/Endometrioid Carcinoma

2021· article· en· W3159017412 on OpenAlexaff
Raji Ganesan, C. Blake Gilks, Robert A. Soslow, W. Glenn McCluggage

Bibliographic record

VenueInternational Journal of Gynecological Pathology · 2021
Typearticle
Languageen
FieldMedicine
TopicEndometrial and Cervical Cancer Treatments
Canadian institutionsUniversity of British Columbia
FundersNational Cancer Institute
KeywordsMedicineProgestogenAtypical hyperplasiaCarcinomaEndometrial hyperplasiaTerminologyGynecologyBiopsyPathologyInternal medicineEstrogen

Abstract

fetched live from OpenAlex

Histologic assessment of response to progestogen therapy is a cornerstone of nonsurgical management of atypical hyperplasia/low-grade endometrioid carcinoma. Pathologists are required to assess whether there is ongoing preneoplastic or neoplastic change in the biopsies (often multiple) taken during therapy. There have been few studies documenting the specific histologic changes induced by therapeutic progestogens and currently there are no guidelines on terminology used in this scenario. Given the need for uniformity in reporting and the lack of guidance in the current literature, we initiated an online survey (including questions, categories of reporting, and scanned slides for assessment) which was sent to all members of British Association of Gynaecological Pathologists (BAGP) and the International Society of Gynecological Pathologists (ISGyP) with the aim to assess the variability among pathologists in reporting these specimens and to come up with a consensus-based terminology for reporting of endometrial biopsies from women on progestogen therapy for endometrial atypical hyperplasia/endometrioid carcinoma. In total, 95 pathologists participated in this survey. This manuscript elaborates on the results of the survey with recommendations aimed at promoting uniform terminology in reporting these biopsies.

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)0.002
metaresearch head score (Gemma)0.092
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.157
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.092
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
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)0.0010.000

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 head0.097
GPT teacher head0.364
Teacher spread0.267 · 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

Citations6
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Gynecological PathologySame topicEndometrial and Cervical Cancer TreatmentsFrench-language works237,207