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Record W1991616440 · doi:10.1089/lap.2007.0162

Level of Evidence in Minimal Access Pediatric Surgery

2008· review· en· W1991616440 on OpenAlexaff
Neil Orzech, Mohammed Zamakhshary, Jacob C. Langer

Bibliographic record

VenueJournal of Laparoendoscopic & Advanced Surgical Techniques · 2008
Typereview
Languageen
FieldMedicine
TopicMinimally Invasive Surgical Techniques
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineInstitutional review boardEvidence-based medicineUnivariateMEDLINEFamily medicineSurgeryAlternative medicineStatisticsPathologyMultivariate statistics

Abstract

fetched live from OpenAlex

INTRODUCTION: The use of minimal access techniques is rapidly expanding in pediatric surgery. Our aim was to answer two questions: (1) What is the current quality of evidence for minimal access pediatric surgery (MAPS)? and (2) Has the evidence for MAPS improved with respect to focus and methodology over a 12-year period (1995-2006)? METHODS: A systematic review was performed. Data collected included: study characteristics, methods, and outcomes recorded. Approval by a research ethics board (REB) was recorded, where applicable, and articles were assessed for the reporting of learning curves and study limitations. Studies were divided into two eras according to publication date. Data were compared by using correlation, chi-squares, and univariate analyses. RESULTS: Four hundred and ten studies met the inclusion criteria. Of those, 260 (63.4%) were published in the late era. Only 1.46% of studies were level 1, whereas level 4 evidence was predominant (71.46%). The two eras were comparable with regard to country of origin, single-institution studies, length of follow-up, and quality of outcomes reporting. More studies reported REB approval (P = 0.0001) and clearly documented limitation of study design (P = 0.03) in the late era. CONCLUSIONS: There has been a significant increase in the number of articles dealing with MAPS. Recent studies were more likely to report limitations of study design and REB approval, but overall, there was no increase in level of evidence in the MAPS literature over the past 12 years. Although more research is being published, more attention needs to be paid to producing higher quality evidence.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.945
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0090.003
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.485
GPT teacher head0.479
Teacher spread0.006 · 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 designOther design
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

Citations10
Published2008
Admission routes1
Has abstractyes

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