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Record W3163993007

Adverse events from spinal manipulations in the pregnant and postpartum periods: a systematic review and update.

2021· review· en· W3163993007 on OpenAlexaff
Carol Ann Weis, Kent Stuber, Kent Murnaghan, Shari Wynd

Bibliographic record

VenuePubMed · 2021
Typereview
Languageen
FieldMedicine
TopicPregnancy-related medical research
Canadian institutionsCanadian Memorial Chiropractic College
Fundersnot available
KeywordsMedicineChiropracticCINAHLAdverse effectMEDLINESystematic reviewSpinal manipulationPostpartum periodPregnancyAlternative medicineInternal medicinePsychiatryPsychological intervention
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: The purpose of this study is to update a previous critical review of adverse events in pregnant and postpartum populations. METHODS: The following databases were searched: PubMed, CINAHL, Index to Chiropractic Literature, Cochrane Database of Systematic Reviews/Cochrane Central Register of Controlled Trials and MEDLINE. We included all study design types as it was determined a priori that there would not be enough high-quality research on spinal manipulative therapy (SMT) in these populations to make any determinations. The Scottish Intercollegiate Guidelines Network (SIGN) and CARE (CAse REport) checklists were used for quality rating. RESULTS: This update found one case study that demonstrated a serious adverse event in the cervical spine following SMT and a handful of minor and transient adverse events in the low back following SMT. CONCLUSIONS: There was limited evidence of adverse events following SMT in these populations. Although we are calling for improved reporting of such events in future studies, it may be that such injuries are rare.

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)0.048
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.048
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.005
Bibliometrics0.0080.007
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.083
GPT teacher head0.358
Teacher spread0.275 · 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 designSystematic review
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

Citations6
Published2021
Admission routes1
Has abstractyes

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