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CTRI Number  CTRI/2026/02/104396 [Registered on: 20/02/2026] Trial Registered Prospectively
Last Modified On: 19/02/2026
Post Graduate Thesis  Yes 
Type of Trial  Observational 
Type of Study   Single-arm, prospective, observational study 
Study Design  Single Arm Study 
Public Title of Study   A clinical trial to study the predictive value of neuromuscular monitor-based quantitative sensory testing for postoperative pain and opioid requirement 
Scientific Title of Study   To study the predictive value of neuromuscular monitor-based quantitative sensory testing for postoperative pain and opioid requirement 
Trial Acronym  Nil 
Secondary IDs if Any  
Secondary ID  Identifier 
NIL  NIL 
 
Details of Principal Investigator or overall Trial Coordinator (multi-center study)  
Name  Dr Shikha Gupta 
Designation  Professor Anaesthesia  
Affiliation  Dayanand Medical College and Hospital  
Address  Department of Anaesthesia Dayanand Medical College and Hospital,Civil Lines,Ludhiana Punjab

Ludhiana
PUNJAB
141001
India 
Phone  9814820622  
Fax    
Email  shikhadmc@yahoo.com   
 
Details of Contact Person
Scientific Query
 
Name  Dr Chandandeep Kaur  
Designation  Junior resident Anaesthesia  
Affiliation  Dayanand Medical College and Hospital  
Address  Department of Anaesthesia Dayanand Medical College and Hospital,Civil Lines,Ludhiana Punjab

Ludhiana
PUNJAB
141001
India 
Phone  7986060876  
Fax    
Email  chandandeepkaur23@gmail.com   
 
Details of Contact Person
Public Query
 
Name  Dr Chandandeep Kaur  
Designation  Junior resident Anaesthesia  
Affiliation  Dayanand Medical College and Hospital  
Address  Department of Anaesthesia Dayanand Medical College and Hospital,Civil Lines,Ludhiana Punjab

Ludhiana
PUNJAB
141001
India 
Phone  7986060876  
Fax    
Email  chandandeepkaur23@gmail.com   
 
Source of Monetary or Material Support  
Dayanand Medical College and Hospital 
 
Primary Sponsor  
Name  Dayanand Medical College and Hospital  
Address  Tagore Nagar,Civil Lines,Ludhiana 141001,Punjab,India 
Type of Sponsor  Private medical college 
 
Details of Secondary Sponsor  
Name  Address 
NIL  NIL 
 
Countries of Recruitment     India  
Sites of Study  
No of Sites = 1  
Name of Principal Investigator  Name of Site  Site Address  Phone/Fax/Email 
Dr Shikha Gupta   Dayanand Medical College and Hospital   Department of Anaesthesia Dayanand Medical College and Hospital, Civil lines Ludhiana 141001 Punjab India
Ludhiana
PUNJAB 
9814820622

shikhadmc@yahoo.com 
 
Details of Ethics Committee  
No of Ethics Committees= 1  
Name of Committee  Approval Status 
Research and Ethical Committee,Dayanand Medical College and Hospital   Approved 
 
Regulatory Clearance Status from DCGI  
Status 
Not Applicable 
 
Health Condition / Problems Studied  
Health Type  Condition 
Patients  (1) ICD-10 Condition: K806||Calculus of gallbladder and bile duct with cholecystitis,  
 
Intervention / Comparator Agent  
Type  Name  Details 
Intervention  Nil  Nil 
 
Inclusion Criteria  
Age From  18.00 Year(s)
Age To  80.00 Year(s)
Gender  Both 
Details  Patients undergoing laparoscopic cholecystectomy under general anaesthesia
Adults of either gender,ASA 1 and 2 
 
ExclusionCriteria 
Details  Pre-existing Chronic pain or Opioid abuse/previous surgical history
Neurological disorders
Psychiatric illness affecting pain reporting
Patients on medications affecting pain perception (e.g., antidepressants, antiepileptics).
Any medical condition that prevented the use of paracetamol or fentanyl in the post-operarative period
Patient refusal for the study 
 
Method of Generating Random Sequence   Not Applicable 
Method of Concealment   Not Applicable 
Blinding/Masking   Not Applicable 
Primary Outcome  
Outcome  TimePoints 
To evaluate the correlation between preoperative neuromuscular monitor–based QST pain thresholds and total postoperative opioid consumption (within first 24 hours).
To evaluate the correlation between preoperative pain threshold (mA) from neuromuscular monitor–based QST and postoperative pain severity in the first 24 hours.
To assess the feasibility, reproducibility, and safety of neuromuscular monitor–based QST in routine perioperative settings 
Postoperative pain severity and opioid consumption will be observed within first 24 hours. 
 
Secondary Outcome  
Outcome  TimePoints 
Nil  Nil 
 
Target Sample Size   Total Sample Size="53"
Sample Size from India="53" 
Final Enrollment numbers achieved (Total)= "Applicable only for Completed/Terminated trials"
Final Enrollment numbers achieved (India)="Applicable only for Completed/Terminated trials" 
Phase of Trial   N/A 
Date of First Enrollment (India)   03/03/2026 
Date of Study Completion (India) Applicable only for Completed/Terminated trials 
Date of First Enrollment (Global)  Date Missing 
Date of Study Completion (Global) Applicable only for Completed/Terminated trials 
Estimated Duration of Trial   Years="0"
Months="0"
Days="0" 
Recruitment Status of Trial (Global)   Not Yet Recruiting 
Recruitment Status of Trial (India)  Not Yet Recruiting 
Publication Details   N/A 
Individual Participant Data (IPD) Sharing Statement

Will individual participant data (IPD) be shared publicly (including data dictionaries)?  

Response - NO
Brief Summary   Effective post-operarative pain management remains a significant challenge in perioperative care of the patient. Treatment of post-operarative pain is an increasingly monitored measure for the quality of care offered to patients. Individual variability leads to varied pain experiences and affects responses to pain management among patients. Also, due to individual variability in pain sensitivity, standardized treatment protocols may not work equally well for all the patients. Although advances in analgesic techniques & multimodal pain management have improved postoperative pain control, there is still a considerable subset of patients who experience disproportionately severe pain leading to increased opioid requirement, prolonged hospital stay, delayed recovery and a higher risk of chronic post surgical pain. Anticipating such patients, who are likely to experience severe post -operative pain, could help clinicians tailor pain management strategies to improve outcomes.
 Several traditional Quantitative Sensory Testing(QST) methods which includes pressure algometry, thermal testing and electrical stimulation, have shown efficacy in predicting post-operarative pain responses by assessing patients’ reaction to various sensory stimuli.
If a reliable correlation is established between preoperative stimulation response and postoperative pain intensity/opioid consumption, this method could offer a pragmatic and scalable solution for perioperative pain assessment, ultimately allowing clinicians to stratify patients based on their pain sensitivity and plan perioperative analgesia accordingly, enhancing both pain control and overall recovery. 
 
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