The Use of Massage Therapy as a Nonpharmacological Approach to Relieve Postlaparoscopic Shoulder Pain: a Pediatric Case Report
Bibliographic record
Abstract
INTRODUCTION: Postlaparoscopic shoulder pain (PLSP) has been well documented to effect patients following an abdominal or thoracic laparoscopic surgery. PLSP is characterized by referred pain that can occur both unilaterally or bilaterally, and is typically caused by phrenic nerve irritation. Current literature has focused on pharmacological treatment; however, there is limited evidence for the use of nonpharmacological management of PLSP in the pediatric population. CASE DESCRIPTION: This retrospective case report study explores the use of a single-session massage therapy treatment for a 17-year-old patient with PLSP following laparoscopic abdominal surgery. INTERVENTION AND RESULTS: Therapy intervention included a 25 min Swedish massage involving the effected shoulder with an emphasis on passive touch to the shoulder and at the level of the diaphragm. Pain was assessed using the Visual Analog Scale (VAS) pre- and postintervention. Following therapy the patient reported 0/10 pain. CONCLUSION: This case report provides evidence for the use of massage therapy treatment as a noninvasive, nonpharmacological approach to reducing or eliminating PLSP in a pediatric patient.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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".