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Record W4394524979 · doi:10.6084/m9.figshare.19846120

Risk factors and pooled incidence of intestinal stoma complications: systematic review and Meta-analysis

2022· dataset· en· W4394524979 on OpenAlexaboutno aff
Federica Dellafiore, Rosario Caruso, Luigi Bonavina, Nathasha Samali Udugampolage, Giulia Villa, Sara Russo, Ida Vangone, Irène Baroni, Cristina Di Pasquale, Tiziana Nania, Duilio Fiorenzo Manara, Cristina Arrigoni

Bibliographic record

VenueFigshare · 2022
Typedataset
Languageen
FieldMedicine
TopicStoma care and complications
Canadian institutionsnot available
Fundersnot available
KeywordsMeta-analysisStoma (medicine)Incidence (geometry)MedicineInternal medicineGeneral surgeryMathematics

Abstract

fetched live from OpenAlex

The present systematic review aimed to identify, critically assess and summarize which risk factors might determine the onset of ostomy complications, describing a pooled incidence and stratified incidences by each identified risk factor. A systematic literature review with a meta-analysis of observational studies was performed by following the PRISMA statement and flow chart. The quality assessment of the included articles was performed through the Newcastle-Ottawa Scale (NOS). Sixteen articles published between 1990 and 2018 focused on the risk factors related to intestinal stomal complications, and the performed analysis led to identifying influenceable and non-influenceable risk factors. The median of the NOS evaluation was 6 (IQR = 5.75–6). Among 10,520 included patients, the pooled incidence of stomal complications was 35%, ranging from 9% to 63%, regardless of the nature of the complications. Analysis of the sub-groups highlighted obesity and ostomy surgery performed <i>via</i> laparoscopy or emergency conditions have significant incidences, respectively, of 66% and 68%. The pooled incidence of stomal complications requires greater attention for its relevant epidemiology. From the clinical point of view, patients with obesity and chronic conditions require more attention to prevent complications, possibly employing accurate educational interventions to enhance proper stoma management.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.886
Threshold uncertainty score0.765

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.2580.000

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 head0.108
GPT teacher head0.349
Teacher spread0.242 · 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 designMeta-analysis
Domainnot available
GenreDataset

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
Published2022
Admission routes1
Has abstractyes

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