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Record W2148533362

Maternal outcomes of cesarean sections: do generalists' patients have different outcomes than specialists' patients?

2007· article· en· W2148533362 on OpenAlexaboutno aff
Kris Aubrey‐Bassler, Sarah Newbery, Len Kelly, Bruce Weaver, Scott Wilson

Bibliographic record

VenuePubMed · 2007
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAmniotic fluid embolismPulmonary embolismOdds ratioDeep veinCarotid endarterectomyComorbidityEclampsiaPneumothoraxStroke (engine)PregnancyThrombosisSurgeryInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To compare maternal outcomes of cesarean sections performed by GPs with the outcomes of those performed by specialists. DESIGN: Retrospective, comorbidity-adjusted study. SETTING: Mostly small isolated rural hospitals in Ontario, British Columbia, Alberta, and Saskatchewan compared with all levels of specialist obstetric programs offered in Canada. PARTICIPANTS: Fifteen GPs with less than 1 year of surgical training who performed cesarean sections. METHOD: Using data from the Canadian Institute for Health Information's Discharge Abstracts Database for the years 1990 to 2001, we matched each of 1448 cesarean section cases managed by these GPs to 3 cases managed by specialists and looked for comorbidity. In total, we analyzed the outcomes of 5792 cesarean sections. MAIN OUTCOME MEASURES: Composites of major morbidity possibly attributable to surgery:death, sepsis, cardiac arrest, shock, hypotension, ileus or bowel obstruction,major puerperal infection, septic or fat embolism, postpartum hemorrhage requiring hysterectomy, need for cardiopulmonary resuscitation, or another operation; and all major morbidity: major surgical morbidity, acute coronary syndrome, endocarditis, pulmonary edema, cerebrovascular disorder, pneumothorax, respiratory failure, amniotic fluid embolism, complications of anesthesia, deep vein thrombosis, pulmonary embolism, acute renal failure, and need for mechanical ventilation. RESULTS: The rate of all major morbidity was higher among GPs' patients than among specialists' patients (3.1% vs 1.9%, odds ratio [OR] 1.6, 95% confidence interval [CI] 1.1 to 2.3, P = .009) as was the rate of major surgical morbidity (2.5% vs 1.6%, OR 1.6, 95% CI 1.1 to 2.4, P = .024). Differences in major morbidity variables were not significant if major postpartum infection was excluded (all major morbidity 1.5% vs 1.1%, major surgical morbidity 1.0% vs 0.8%). Secondary outcomes included rate of transfer to acute care institutions (6.0% vs 1.5%, OR 4.6, 95% CI 3.6 to 6.5, P < .001), mean length of hospital stay (5.2 vs 4.9 days, P= .006), need for blood transfusion (5.9% vs 7.0%, OR 0.76, 95% CI 0.5 to 1.1, P = .11) and frequency of surgical error (0.8% vs 0.7%, OR 1.1, 95% CI 0.6 to 2.3, P = .72). CONCLUSION: Although major morbidity was higher among GPs' patients, differences were entirely attributable to the rate of postpartum infection. Infection rates in both groups were far below expected rates. The observation that blood transfusion and surgical error rates were similar suggests that surgical technique was not the cause of differences between groups. We conclude that these GPs with a mean of 4 months' training subsequently performed cesarean sections with an acceptable degree of safety compared with specialists.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.032
GPT teacher head0.299
Teacher spread0.266 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations18
Published2007
Admission routes1
Has abstractyes

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