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2005· article· en· W4206748652 on OpenAlexaboutno aff
Jim Thornton

Bibliographic record

VenueBJOG An International Journal of Obstetrics & Gynaecology · 2005
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsEndometrial ablationGeneral anaesthesiaCaesarean sectionMedicineObservational studySedationRandomized controlled trialHysterectomyGeneral surgeryObstetricsSurgeryPregnancy

Abstract

fetched live from OpenAlex

The evidence-base for labour induction around term, such as it is, relies almost exclusively on trials which excluded women with a uterine scar. This matters now that around 20% of pregnancies are delivered by Caesarean section. The systematic review from Oregon (pp. 1007–1015) reminds us how little reliable evidence there is to guide decision-making in this area; there have only been two small trials and a small number of observational studies of, at best, moderate quality. These suggest that induction in this situation increases the chance of having another Caesarean, and there are essentially no data on fetal outcomes, so I guess the message is: avoid induction if possible, or better still do a good quality randomised trial. Even under general anaesthesia endometrial ablation is cheaper than hysterectomy, and it would be cheaper still in outpatient settings under local anaesthesia. On pages 1109–1116 we report a trial from Aberdeen comparing post-menstrual phase microwave ablation without endometrial preparation under sedation and local anaesthesia, with conventional microwave ablation using endometrial preparation under general anaesthesia. The latter technique was more acceptable, equally effective and unsurprisingly, cheaper. On pages 1117–1120, a group from the West Midlands report going a step further with a different technique-thermal ablation. They trained general practitioners to do the procedure under local anaesthesia in a community hospital. There was no control group but the procedures seemed to go well. It is hardly surprising that purchasers of gynaecological services are looking to reduce their costs. Professor Gordon Smith from Cambridge has been using Scottish health system data to elucidate obstetric risk factors. A few years ago he demonstrated an excess of delivery-related perinatal deaths in second twins compared with their first-born co-twins. On pages 1139–1144 he extends the analysis to test the hypothesis that twin delivery by planned caesarean section reduces this difference. It does. Of course this does not prove that we should deliver all twins by planned caesarean section; we might, for example, end up increasing prematurity-related deaths from over-diagnosis of false labour. Fortunately a randomised trial, the Twin Birth Study, co-ordinated from Toronto, http://www.crwh.org/programs/tbs.php) is currently recruiting. Some people have long suspected that gastroschisis has an environmental aetiology, and others have wondered whether maternal hair analysis might one day be a useful way to measure peri-conceptional drug exposure. Now a group from Galway and London have put the two ideas together (pp. 1022–1025). Four out of twenty-two women whose fetus had gastroschisis and none out of 25 controls had evidence of recreational drug ingestion at the time of conception. The case is far from proven for all sorts of reasons. Not only are the numbers small, but the drug ingestion may be only a marker for the real cause and there remain many practical difficulties with hair analysis, but we will surely hear more of this. We could prevent obstetric anal sphincter injury by doing more caesareans if we only knew who was going to get such an injury. Unfortunately present risk factors cannot tell us (pp. 1066–1069). Alternatively we could do mediolateral rather than midline episiotomies. Apparently many doctors and midwives angle their incision much nearer to the midline than is generally recommended (pp. 1156–1158). Finally we report a long-term study of obstetric risk factors for prolapse in later life. Way back in 1952 the late Professor James Walker set up a card index of detailed obstetric information for women who delivered in his hospital in Dundee, and it later became possible to link these data to the Scottish Morbidity Record. This allowed his successors to relate pelvic floor repair surgery to the mode of delivery many years earlier. Caesarean section was protective, but nothing else seemed to matter much.

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)0.010
metaresearch head score (Gemma)0.084
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 score0.403
Threshold uncertainty score0.851

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.084
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0040.002
Science and technology studies0.0020.002
Scholarly communication0.0090.007
Open science0.0060.003
Research integrity0.0150.011
Insufficient payload (model declined to judge)0.4030.149

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 head0.030
GPT teacher head0.368
Teacher spread0.338 · 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
Published2005
Admission routes1
Has abstractyes

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