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Record W2144018759

Management of Ingested Foreign Bodies in Paediatric Patients: An Experience from a Tertiary Hospital in Ethiopia

2014· article· en· W2144018759 on OpenAlexaboutno aff
Abilo Tadesse, A. Feyo

Bibliographic record

VenueEast and Central African journal of surgery · 2014
Typearticle
Languageen
FieldMedicine
TopicForeign Body Medical Cases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineForcepsSwallowingVomitingForeign bodyIngestionForeign Body IngestionSurgeryFoleyFoley catheterGold standard (test)General surgeryCatheterPediatricsInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Background : The problem of FB ingestion is commonly seen in young children, with most of the cases being aged between 6 months and 5 years. Oesophagoscopy is the gold standard for their management  although McGill forceps, Fogarty catheter and bouginage may also be used when appropriate. Methods : This was a retrospective study of paediatric patients presenting with features of FB ingestion at Black Lion Hospital between September 2011 and February 2013. A total of 85 cases were analyzed. Results : A total of eighty five (61.5%) males and 33 (38.8) females with a mean age of 2.86 years were analyzed. Vomiting (70.6%) and difficulty in swallowing (50.6%) were the most common symptoms. Coins were the most commonly ingested FB items. Plain X-rays located 78.85% of FBs in the proximal oesophagus. The vast majority of patients (92.9%) had their FBs retrieved using McGill forceps. Foley’s catheter was used in 15 (17.6%) and Oesophagoscopy in 9 (10.6 %) cases Conclusion : McGill’s forceps with the aid of a McIntosh laryngoscope is a safe and effective method for proximal oesophageal foreign body  removal.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.016
Threshold uncertainty score0.400

Codex and Gemma teacher scores by category

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

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 head0.017
GPT teacher head0.226
Teacher spread0.210 · 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.

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

Citations1
Published2014
Admission routes1
Has abstractyes

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