Epidemiology and treatment outcomes in pediatric patients with post-injection paralysis
Bibliographic record
Abstract
BACKGROUND: Post-injection paralysis (PIP) of the sciatic nerve is an iatrogenic paralysis that occurs after an intramuscular injection, with resultant foot deformity and disability. This study investigates the epidemiology and treatment of PIP in Uganda. METHODS: Health records of pediatric patients surgically treated for PIP at the CoRSU Rehabilitation Hospital from 2013 to 2018 were retrospectively reviewed. Pre-operative demographics, perioperative management, and outcomes were coded and analyzed with descriptive statistics, chi-square for categorical variables, and linear models for continuous variables. RESULTS: Four-hundred and two pediatric patients underwent 491 total procedures. Eighty-three percent of reported injection indications were for febrile illness. Twenty-five percent of reported injections explicitly identified quinine as the agent. Although ten different procedures were performed, achilles tendon lengthening, triple arthrodesis, tibialis posterior and anterior tendon transfers composed 83% of all conducted surgeries. Amongst five different foot deformities, equinus and varus were most likely to undergo soft tissue and bony procedures, respectively (p=0.0223). Ninteen percent of patients received two or more surgeries. Sixty-seven percent of patients achieved a plantigrade outcome; 13.61% had not by the end of the study period; 19.3% had unreported outcomes. Those who lived further from the facility had longer times between the inciting injection and initial hospital presentation (p=0.0216) and were more likely to be lost to follow-up (p=0.0042). CONCLUSION: PIP is a serious iatrogenic disability. Prevention strategies are imperative, as over 400 children required 491 total surgical procedures within just six years at one hospital in Uganda.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".