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Record W4408163063 · doi:10.3332/ecancer.2025.1864

Comparison of the effectiveness of oral morphine versus oral tramadol on early pain control in opioid-naive patients with moderate cancer pain

2025· article· en· W4408163063 on OpenAlexaboutno aff
Ramila Shilpakar, K C Anuj, Bibek Acharya, Shama Pandey, Prakash Neupane, Bishal Poudel, Soniya Dulal, Bishnu Dutta Poudel

Bibliographic record

Venueecancermedicalscience · 2025
Typearticle
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTramadolOpioidMorphinePain controlCancer painPain ladderAnesthesiaCancerInternal medicineAnalgesic

Abstract

fetched live from OpenAlex

Purpose: The purpose of this study was to compare the efficacy of oral morphine (MOR) with oral tramadol (TRM) in control of pain as well as physical well-being in patients (pts) with moderate cancer pain (MCP) using the Edmonton Symptom Assessment Scale (ESAS). Methods: An Institutional Review Board (IRB) approved randomised phase II trial was performed in opioid-naive pts with MCP as defined by pain score in numerical rating score (NRS) of 4-6. Patients were randomised to receive MOR syrup 5 mg 4 hourly or TRM 50 mg four times a day. Titration of dose was done in both groups for 3 days in case of inadequate pain control as per standard recommendation for MOR or until the maximum recommended daily dose for TRM. MOR was changed to prolonged release form on Day 4. The primary endpoint was the number of early responders, defined as pts with at least 20% reduction in pain intensity on NRS on Day 3. The secondary outcome was the number of patients with highly meaningful pain reduction, defined as a decrease in pain intensity on NRS by ≥5 and improvement in physical well-being with ESAS at Day 7. Results: < 0.001). Improvement in general physical well-being as assessed by ESAS was better in the MOR group. No difference in adverse effects was noted between the treatment arms. Conclusion: In this study, MOR was superior to TRM in the control of pain with statistically significant differences in the primary and secondary endpoints. Therefore, early use of MOR skipping the World Health Organization sequential analgesic ladder for MCP may be a higher value option in resource-scarce country with limited access to healthcare.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.043
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.015
GPT teacher head0.316
Teacher spread0.301 · 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
Published2025
Admission routes1
Has abstractyes

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