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Esophageal foreign bodies: 177 cases

2010· article· en· W2106520358 on OpenAlexaboutno aff
Abdul Nadir, Enes Şahin, İşılay Nadir, Şule Karadayı, Melih Kaptanoğlu

Bibliographic record

VenueDiseases of the Esophagus · 2010
Typearticle
Languageen
FieldMedicine
TopicForeign Body Medical Cases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineForcepsImpactionPerforationEsophagusSurgeryForeign BodiesStomachGastroenterology

Abstract

fetched live from OpenAlex

The aim of this study is to assess patients treated for esophageal foreign bodies. The charts of patients (n=177), between January 1994 and April 2009, were investigated retrospectively. Patients' age and gender, locations and types of foreign bodies (FBs) and interventions were taken into consideration. Fifty-seven percent of the patients were male. The youngest patient was 6 months, whereas the oldest was 83 years old. The median age was 9 years. Half of the patients were in their first decade. Treatment took place 11 h (ranging from 1 to 120 h) after impaction of the FB. One hundred fifty-two FBs were removed in 177 patients. Our negative esophagoscopy (n=25) rate was 14%. The FBs were radiopaque in 75% (n=114) and were commonly (71%; n=109) located in the cervical esophagus. Metallic coins (n=81-53%) were the most commonly observed inorganic FB while bones and/or meat impaction (n=54-35%) were the most frequent organic FB. A total of 182 endoscopic interventions were performed on these patients. One hundred eleven of them were esophagoscopy and the remaining 71 were direct laryngoscopy. The FB was pushed into the stomach in 11 patients. Our morbidity rate was 1.6% (n=3). Iatrogenic perforation occurred in two patients. There was no mortality. Esophageal FBs may vary in type: sharp or round objects, metallic, plastic or organic material. FBs are commonly found at pharyngoesophageal junction and usually removed by McGill forceps. Rigid esophagoscopy is used for children and adults because of its large working channel. Rigid instruments are considered reliable and safe for extracting foreign bodies.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.011
GPT teacher head0.268
Teacher spread0.257 · 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 designCase report
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

Citations52
Published2010
Admission routes1
Has abstractyes

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