The most important discoveries of the past 50 years in gynaecological pathology
Bibliographic record
Abstract
The field of gynaecological pathology has grown from its infancy to a mature subspecialty over the last 50 years. What discoveries have led the way in this evolution? On the basis of personal experience and a survey of expert gynaecological pathologists, the following discoveries have been most impactful: (i) identification of the role of human papillomavirus in the aetiology of carcinoma of the lower genital tract; (ii) the emergence of international classification systems for gynaecological cancers (with cervical adenocarcinoma being the most recent example of this); (iii) the development of reliable immunohistochemistry as a diagnostic adjunct; (iv) discoveries around the aetiology and the relationship between serous carcinoma of the tube/ovary and the endometrium; and (v) identification of the role of oestrogen in the development of endometrial carcinoma and histological recognition of the precursor lesion atypical hyperplasia/endometrial intraepithelial neoplasia, and how recognition of the role of diethylstilboestrol in the aetiology of vaginal clear cell carcinoma led directly to this discovery. The history of each discovery and how it changed diagnostic pathology will be discussed in this review.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".