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Editor's Choice

2004· article· en· W2325979222 on OpenAlexaboutno aff
Siladitya Bhattacharya

Bibliographic record

VenueBJOG An International Journal of Obstetrics & Gynaecology · 2004
Typearticle
Languageen
FieldMedicine
TopicGynecological conditions and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsEugenicsFertilityReproductive medicineTheme (computing)Reproductive technologySelection (genetic algorithm)Engineering ethicsPublic relationsMedicinePsychologyPolitical scienceLawComputer sciencePopulationBiologyPregnancyEngineering

Abstract

fetched live from OpenAlex

This issue is a first for the journal, one devoted to a theme, in this case Reproductive Medicine. It is not a supplement. It replaces our normal November issue. The articles have been peer reviewed in the normal way and have the same academic status as those in a conventional issue. We hope readers enjoy it and if the feedback is good there will be more. Advances in reproductive technology need to be both evaluated properly and used ethically. Pre-implantation genetic diagnosis (PGD) is currently used to screen embryos for a limited number of inherited conditions, but could be used for much wider embryo selection (pp. 1165–1173). Preliminary data indicate that it is probably safe and reliable, but long-term follow-up results are limited and any misdiagnosis might have devastating consequences. The authors emphasise the need to restrict PGD to medical purposes and to prevent its use for eugenic selection. In Finland (pp. 1229–1235) infertile and parous women both endorse the need for regulation despite having divergent views on access to fertility treatment. Allan Templeton explores some of the challenges faced by fertility specialists today (pp. 1161–1162), and argues that despite greater acceptance of public funding for infertility and the presence of treatment guidelines, we need a national framework for delivery. On page 1163 Cynthia Farquhar and Neil Johnson assess the evidence base. Some questions have been answered by systematic reviews but, for many more, there is little or no trial evidence. Nevertheless, even inconclusive reviews can guide research. Large trials have changed clinical practice in obstetrics. It is time for similar trials in infertility. On page 1174, Sacks and Trew question the presumed irrelevance of tubal surgery in the post IVF era and argue for surgery for minimal or mild tubal damage. IVF should be reserved for more severe cases. They also highlight the absence of a universally agreed system for classifying tubal disease. The advantage of such a classification is demonstrated by Akande and colleagues (pp. 1236–1241) in a prospective study of women with objectively assessed tubal status. In comparison with women with severe tubal disease, the odds (95% CI) of live birth in cases of mild and moderate tubal disease are 14 (4.5–42) and 6.5 (2.5–17) respectively. The wide confidence intervals reflect the relatively small sample size, but the predictive value of this form of tubal evaluation is not in doubt. Tubal function is the indirect focus of two more papers. In a case-control study from Mexico (pp. 1254–1260), there was no association between abortion and tubal infertility and in a study from Scotland, (pp. 1261–1268) opportunistic screening of women for Chlamydia trachomatis to prevent complications such as pelvic inflammatory disease, appears to produce no net cost savings. The best way to treat pelvic endometriosis continues to provoke debate. A survey of U.K. consultants, (pp. 1269–1272) reveals that although they routinely undertake laparoscopic diagnosis and surgery, their techniques and clinical beliefs vary widely. The majority (76%) felt that they could confidently diagnose endometriosis, but this confidence is not shared by the authors of a systematic review of the accuracy of laparoscopy (pp. 1204–1212). Despite the poor quality of the studies in the review, it seems clear that a negative diagnosis of endometriosis is accurate, but a positive diagnosis is of limited value. This has serious consequences given the potential for morbidity associated with unnecessary medical and surgical treatment. In a separate review, Vercellini and colleagues (pp. 1213–1217) show that, like other types of endometriosis, lower intestinal disease is more likely to occur on the left side. This finding supports the implantation theory of aetiology. On page 1294, Walker and colleagues report on the maternal risks of multiple pregnancy. Analysis of data from a large Canadian database shows a significant increase in obstetric complications, including a two-fold rise in the risk of maternal death. The growing number of multiple pregnancies in many countries can be directly attributed to fertility treatment involving stimulation of multiple ovarian follicles. In IVF, the risk can be minimised by transferring fewer embryos, but superovulation poses a greater challenge. A paper from France (pp. 1277–1282) reports on results of a less aggressive regimen of ovarian stimulation using lower doses of gonadotrophins. Used in conjunction with intra-uterine insemination, live birth rates of 21% per woman were achieved with a multiple pregnancy rate of less than 10%. Despite its observational nature and the absence of a control group, this study shows that a commitment to ensure patient safety is compatible with acceptable rates of success.

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)0.009
metaresearch head score (Gemma)0.077
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.481
Threshold uncertainty score0.740

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.077
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.002
Science and technology studies0.0020.002
Scholarly communication0.0100.006
Open science0.0040.003
Research integrity0.0130.008
Insufficient payload (model declined to judge)0.4810.211

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 head0.326
Teacher spread0.303 · 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.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations0
Published2004
Admission routes1
Has abstractyes

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