Evidence map›Paper›PMID 41642390›Full record

ReviewCurrent pain and headache reports2026

Perioperative Pain Management in Non-Operating Room Anesthesia (NORA) Settings.

Nalini Vadivelu, Nicholas Mydlo, Isabella Rosales, Gopal Kodumudi, Shilpa Rao, Nishita Lockwood, Kenneth W Hung, Thiruvengadam Muniraj

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current pain and headache reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Nalini VadiveluYale University, New Haven, USA. nalini.vadivelu@yale.edu.
Nicholas MydloUniversity of Virginia, Charlottesville, USA.
Isabella RosalesYale University, New Haven, USA.
Gopal KodumudiUniversity of California, Irvine, USA.
Shilpa RaoYale University, New Haven, USA.
Nishita LockwoodYale University, New Haven, USA.
Kenneth W HungYale University, New Haven, USA.
Thiruvengadam MunirajYale University, New Haven, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this review is to present an updated overview of the literature concerning the safe and effective management of perioperative pain in NORA settings. The increasing demand for minimally invasive procedures, driven by advancements in technology, has led to the growing utilization of non-operating room anesthesia (NORA) across multiple medical disciplines. RECENT

findingsDespite the growing utilization, there is a notable dearth of literature regarding the outcomes of NORA cases, particularly regarding pain management. NORA environments, such as bronchoscopy suites, magnetic resonance imaging (MRI) facilities, interventional cardiology suites, and gastrointestinal (GI) endoscopic units managing conditions like masses, cancers, and bleeding, present distinct challenges for effective pain control. Anesthesiology providers must exhibit adept familiarity and attentiveness, and be vigilant and prepared for diverse NORA settings, some of which may suffer from understaffing, inadequate infrastructure, or remote accessibility, potentially compromising patient outcomes. Further investigation into pain management strategies for NORA patients is imperative. The adaptation and progression of pain services within the dynamic healthcare landscape of NORA, characterized by continual evolution and shifting paradigms, are essential to meet the evolving demands of patient care effectively.

Indexed as

AnesthesiaPain ManagementPerioperative CareHumans

Identifiers

What OpenQuestion holds

Textmetadata
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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.