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Record W4400787560 · doi:10.59779/jiomnepal.444

Postoperative pain management with combined local infiltration and oral analgesia in herniotmy wound in children

2011· article· en· W4400787560 on OpenAlexaboutno aff
NR Sharma, Uma A. Pandit, P Sapkota

Bibliographic record

VenueJournal of Institute of Medicine Nepal · 2011
Typearticle
Languageen
FieldMedicine
TopicHernia repair and management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePain managementInfiltration (HVAC)AnesthesiaPostoperative painSurgery

Abstract

fetched live from OpenAlex

Introduction: Post operative pain management in children is one of the most challenging job to anaesthetic as well as to surgeon. Adequate analgesia in children is necessary to reduce parent’s distress after any surgery. This study was carried out to assess the subjective adequacy of combined approach local anaesthesia and oral analgesia after inguinal herniotomy surgery in children. Methods: It was a prospective study done in a very remote district of Ruccum in Nepal. Adequacy of postoperative pain management was observed after wound infiltration at the local site in inguinal herniotomy cases.subsequently after surgery in 80 children. Wound infiltration at the local site was made with 0.5% bupivacaine. subsequently a combination of syrup of oral analgesic ibuprofen and paracetamol was given 4 hours after surgery when child became fully awake. Children’s Hospital Eastern Ontario Pain Scale (CHEOPS) was used to access the adequacy of pain management. Results: out of 80 children, pain score< 6 was observed in 95.5% children . Among behavioralscore the commonest neutral bevavior in torso was found in 75 chidren. Likewise, no cry in 73, smiling in 70%, positive in 70%, not touching in 74%, neutral behavior in 74% were observed in cry, facial, child verbal, torso, touch and legs respectively. Conclusion: Local wound infiltration with 0.5% Bupivacaine is a simple and effective method in pain management in herniotomy cases which givessatisfaction to the children as well astheir parents

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)0.000
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 score0.073
Threshold uncertainty score0.404

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.014
GPT teacher head0.248
Teacher spread0.234 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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