ArticleInvestigative and clinical urology2021
Recovery from minimally invasive vs. open surgery in kidney cancer patients: Opioid use and workplace absenteeism.
Article in Investigative and clinical urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Biomechanical Evaluation of Different Fixation Methods for Percutaneous Extracapsular Transverse Cervical Metatarsal Osteotomy in a Hallux Valgus Sawbone Model.Foot & ankle orthopaedics · 2024Article
- Practice-Level Variation in Opioid-Free Discharge Following Surgery for T1 Renal Masses: A MUSIC-KIDNEY Analysis.Urology practice · 2024Article
- How far has robot-assisted partial nephrectomy reached?Investigative and clinical urology · 2023Review
- Comparison of open and robotic-assisted partial nephrectomy approaches using multicentric data (UroCCR-47 study).Scientific reports · 2022Article
- Article
- Feasibility and safety of robotic-assisted total pancreatectomy: a pilot western series.Updates in surgery · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeDoes surgical approach (minimally invasive vs. open) and type (radical vs. partial nephrectomy) affects opioid use and workplace absenteeism. MATERIALS AND
methodsRetrospective multivariable regression analysis of 2,646 opioid-naïve patients between 18 and 64 undergoing radical or partial nephrectomy via either a minimally invasive vs. open approach for kidney cancer in the United States between 2012 and 2017 drawn from the IBM Watson Health Database was performed. Outcomes included: (1) opioid use in opioid-naïve patients as measured by opioid prescriptions in the post-operative setting at early, intermediate and prolonged time periods and (2) workplace absenteeism after surgery.
resultsPatients undergoing minimally invasive surgery had a lower odds of opioid use in the early and intermediate post-operative periods (early: odds ratio [OR], 0.77; 95% confidence interval [CI], 0.62-0.97; p=0.02, intermediate: OR, 0.60; 95% CI, 0.48-0.75; p<0.01), but not in the prolonged setting (prolonged: OR, 1.00; 95% CI, 0.75-1.34; p=0.98) and had earlier return to work (minimally invasive vs. open: -10.53 days; 95% CI, -17.79 to -3.26; p<0.01). Controlling for approach, patient undergoing partial nephrectomy had lower rates of opioid use across all time periods examined and returned to work earlier than patients undergoing radical nephrectomy (partial vs. radical: -14.41 days; 95% CI, -21.22 to -7.60; p<0.01).
conclusionsPatients undergoing various forms of surgery for kidney cancer had lower rates of peri-operative opioid use, fewer days of workplace absenteeism, but no difference in long-term rates of opioid use in patients undergoing minimally invasive as compared to open surgery.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.