Evidence map›Paper›PMID 32314075›Full record

ReviewCurrent urology reports2020

Reducing Opioid Use After Endourologic Procedures.

Juan Serna, Ruchika Talwar, Daniel J Lee

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current urology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
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

3 authors at 2 institutions in 1 country.

Juan SernaPerelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. sernajuanse@gmail.com.
Ruchika TalwarPerelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Daniel J LeePerelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Hospital of the University of Pennsylvania · USUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewSurgeons have played a significant role in the current opioid epidemic through overprescribing practices in the postoperative setting. However, contemporary efforts have helped to decrease opioid excess, particularly in the field of urology. Minimally invasive surgery offers a unique avenue to address overuse of narcotics in the postoperative period given its emphasis on enhanced recovery. RECENT

findingsHistorically, the majority of the literature characterizing postoperative opioid use and its reduction has focused on non-urological surgery. However, recent studies have shown that patients undergoing urologic procedures are prescribed opioids in a similar manner as patients in other surgical specialties. Reduction strategies have been implemented through the use of regional anesthesia, enhanced recovery after surgery pathways, and the development of procedure-specific opioid prescription recommendations. Patients undergoing urologic surgery experience the same risk of opioid misuse and abuse as patients undergoing other types of surgery. However, the wide use of minimally invasive urological surgeries including robotic surgery offers a unique opportunity to reduce postoperative opioid use through multimodal and interdisciplinary protocols and standardizing guidelines.

Indexed as

Analgesics, OpioidDrug PrescriptionsEndoscopyHumansMinimally Invasive Surgical ProceduresPostoperative PainPractice Patterns, Physicians'Urologic Surgical ProceduresAnalgesics, OpioidEndourologyNarcoticsOpioidsPostoperative painRobotic surgery

Identifiers

PMID32314075
OpenAlexW3016725167

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.