Evidence map›Paper›PMID 33875501›Full record

ArticleBMJ case reports2021

Prevention of postoperative delirium through the avoidance of potentially inappropriate medications in a geriatric surgical patient.

Kevin G Burfeind, Andrés A Tirado Navales, Brandon Michael Togioka, Katie Schenning

Open access · greenAbstract readCase Reports
In one paragraph

Article in BMJ case reports, 2021. 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
0.7field-weighted citation impact, top 31% 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. Article
  2. Post-Operative Delirium in Elderly Patients: A Narrative Review.International journal of molecular sciences · 2025
    Review
  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

4 authors at 1 institution in 1 country.

Kevin G BurfeindAnesthesiology & Perioperative Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Andrés A Tirado NavalesAnesthesiology & Perioperative Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Brandon Michael TogiokaAnesthesiology & Perioperative Medicine, Oregon Health & Science University, Portland, Oregon, USA togioka@ohsu.edu.ORCID http://orcid.org/0000-0002-8285-7811
Katie SchenningAnesthesiology & Perioperative Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Oregon Health & Science University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We demonstrate the utility of risk stratification for postoperative delirium in geriatric patients and show that postoperative delirium can be prevented in high-risk patients when potentially inappropriate medications (PIMs) (medications that are best avoided in older adults) are avoided. In this case, a 65-year-old woman underwent two debridement procedures with similar presurgical risk for postoperative delirium. There was no risk stratification or preoperative cognitive assessment in the first procedure, she received PIMs and developed postoperative delirium. In the second procedure, PIMs were intentionally avoided and postoperative delirium did not occur. This case supports recent recommendations from the European Society of Anaesthesiology, the American Society of Anesthesiologists and the American Geriatrics Society that providers assess a patient's cognitive function and delirium risk profile preoperatively to appropriately guide perioperative management.

Indexed as

DeliriumPotentially Inappropriate Medication ListAgedFemaleHumansPatientsPostoperative ComplicationsRisk FactorsUnited Statesanaesthesiadeliriumgeriatric medicinesurgeryunwanted effects / adverse reactions

Identifiers

PMID33875501
PMCPMC8057549
OpenAlexW3156570249

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.