Evidence map›Paper›PMID 40671990›Full record

ArticleCureus2025

Identifying Predictors of Early Postoperative Pain and Patient Satisfaction Following Day Surgery: Insights From an Observational Study.

Salah N El-Tallawy, Abdullah T Alsubaie, Elsayed A Yousef, Fahriziya T Dahum, Tarek A Abdelzaher, Rania S Ahmed, Vanessa M Alcudia, Walid R Badawy, Sheryll A De Vera, Mohamed S Nagiub and 3 more

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Salah N El-TallawyAnesthesia and Pain Management, King Abdulaziz University Hospital, College of Medicine, King Saud University, Riyadh, SAU.
Abdullah T AlsubaieAnesthesia, Anesthesia Department, King Abdulaziz University Hospital, King Saud University Medical City, Riyadh, SAU.
Elsayed A YousefAnesthesia and Pain Management, King Abdulaziz University Hospital, College of Medicine, King Saud University, Riyadh, SAU.
Fahriziya T DahumDay Surgery Unit, King Khalid University Hospital, King Saud University Medical City, Riyadh, SAU.
Tarek A AbdelzaherAnesthesia and Intensive Care, Faculty of Medicine, Minia University Hospital, Minia University, Minia, EGY.
Rania S AhmedMedicine, Alfaisal University College of Medicine, Riyadh, SAU.
Vanessa M AlcudiaDay Surgery Unit, King Khalid University Hospital, King Saud University Medical City, Riyadh, SAU.
Walid R BadawyAnesthesia, King Khalid University Hospital, King Saud University Medical City, Riyadh, SAU.
Sheryll A De VeraDay Surgery Unit, King Khalid University Hospital, King Saud University Medical City, Riyadh, SAU.
Mohamed S NagiubMedicine, College of Medicine, Badr University, Badr City, EGY.
Amal R AljumahDay Surgery Unit, King Khalid University Hospital, King Saud University Medical City, Riyadh, SAU.
Essam M ManaaAnesthesia, College of Medicine, King Khalid University Hospital, King Saud University, Riyadh, SAU.
Wegdan A AliAnesthesia and Intersive Care, Faculty of Medicine, Minia University Hospital, Minia University, Minia, EGY.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Effective management of postoperative pain in the day surgery unit (DSU) is crucial to ensure patient safety and improve satisfaction. The management of postoperative pain in the DSU is challenging due to short hospital stays, variability in the procedures, and physician practices. This study aims to identify factors linked to severe postoperative pain and patient satisfaction levels in the DSU to improve pain management and patient outcomes. Methodology This multicenter prospective observational study included 395 patients undergoing different same-day surgical procedures under general anesthesia (GA), regional anesthesia (RA), or combined anesthesia (GA+RA). Data included baseline patient characteristics, anesthetic technique, surgical procedure, interventions like local anesthetic infiltrations, patient education, and pain outcomes. Postoperative pain assessment was done using the Numerical Rating Scale (NRS). Statistical analysis was done to identify the pain outcomes, correlations, and predictors of severe pain and satisfaction. Severe pain is recognized as a pain score (>7/10) by NRS. Results The study included 395 patients undergoing different surgical procedures, including Orthopedic (Ortho), obstetrics/gynecology (Ob/Gyn), general surgery (GS), bariatric, urology, and plastic surgeries. Key factors linked to severe postoperative pain included female gender, presence of preoperative pain, and lack of local anesthetic (LA) infiltration. Women experienced more severe pain than men did (55.4% vs. 44.6%). At the same time, men experienced relatively higher satisfaction than women did (6.1 vs. 5.68). LA infiltration reduced worst pain scores (from 6.39 to 5.68) and improved satisfaction (from 5.21 to 6.11). Preoperative education on postoperative pain and pain relief methods reduced worst pain scores (from 6.14 to 5.66) and improved satisfaction (from 5.53 to 6.13). Combined GA+RA provided better pain outcomes than GA or RA alone. Regarding the surgical procedures, Ortho and Ob/Gyn surgeries had the highest incidence of severe pain (40.7% and 40.5%), while urology and plastic surgery patients reported higher satisfaction scores. Conclusions Severe postoperative pain in DSU is influenced by gender, preoperative pain, and type of anesthesia. Some interventions, such as LA infiltration, preoperative education, and combined GA+RA, significantly improved pain outcomes and satisfaction. Strategies like procedure-specific postoperative pain management are recommended to enhance pain outcomes and patient satisfaction.

Indexed as

acute postoperative painday surgery unitlocal anesthetic infiltrationpatient’s satisfactionpredictors of postoperative painpreoperative educationpreoperative predictors

Identifiers

PMID40671990
PMCPMC12265008

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.