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Record W1967659463 · doi:10.1097/gco.0b013e3282f10e44

Postpartum care – what's new?

2007· review· en· W1967659463 on OpenAlexaff
Elizabeth Shaw, Janusz Kaczorowski

Bibliographic record

VenueCurrent Opinion in Obstetrics & Gynecology · 2007
Typereview
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsUniversity of British ColumbiaMcMaster University
Fundersnot available
KeywordsMedicineMEDLINEObstetricsNursingFamily medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: The postpartum period is a time of significant emotional, social, and physical change for most women. This review focuses on recent evidence supported by systematic reviews and randomized, controlled trials to guide the care of postpartum women who are otherwise healthy. RECENT FINDINGS: Mental health outcomes are improved with postpartum support in at-risk women. Postpartum depression can be treated either pharmacologically or with counseling; however, exercise and omega-3 fatty acids are emerging as potentially effective alternatives. Intrauterine devices are safe and effective methods of contraception in the postpartum period. There has yet to be an effective, postpartum, smoking-cessation program developed, although intensive motivational counseling shows some promising early results. Bladder dysfunction continues to be a significant problem for women even at 10 years postpartum. Pelvic floor muscle exercises can help prevent and treat incontinence at 12 months, but longer-term follow-up studies are needed. Prevalence studies suggest that bowel dysfunction is common in the postpartum period, but randomized, controlled trials are limited to treatment in women with third-degree perineal damage. SUMMARY: Although some recommendations can be made for evidence-based postpartum care, many important questions related to the postpartum period have not been examined by rigorous methodologies.

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)0.000
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.966
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.126
GPT teacher head0.425
Teacher spread0.299 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations14
Published2007
Admission routes1
Has abstractyes

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