Evidence map›Paper›PMID 38784119›Full record

ArticleCurrent anesthesiology reports2024

Long-term cognitive outcomes after surgery and anesthesia: what we find depends on where we look.

Hyundeok Joo, Laura Y Li, Elizabeth L Whitlock

Abstract read
In one paragraph

Article in Current anesthesiology reports, 2024. 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.

  1. Trial
  2. Review
  3. Review
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.

Hyundeok JooDepartment of Anesthesia & Perioperative Care, University of California, San Francisco, San Francisco, CA, USA.
Laura Y LiChicago Medical School, Rosalind Franklin University of Medicine and Science, Chicago, IL, USA.
Elizabeth L WhitlockDepartment of Anesthesia & Perioperative Care, University of California, San Francisco, San Francisco, CA, USA.

Funding

Predicting long-term cognitive outcomes and Alzheimer’s disease and related dementias after major noncardiac surgery for older adultsR01AG079263 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Elizabeth Louisa Whitlock · 2022 to 2026
$3.3M
NIA NIH HHS R01 AG079263
6 · The paper itself

Abstract

Purpose of review: To review how anecdote and narrative medicine, primary cohort studies, epidemiological studies, and the dementia literature can be bridged to understand long-term postoperative cognitive decline. Recent findings: Primary cohort studies have measured recoverable declines in memory and executive function after major surgery, but less-appreciated sources also offer critical insights. Anecdote reveals that functionally-impactful cognitive decline may persist after physical recovery in some patients despite modern medications and monitoring, and that physicians are unprepared to address patients' cognitive concerns. However, epidemiological studies reproducibly demonstrate that elective surgery has no, or a negligible, average impact on cognition in older patients. Cognitively provocative factors - like medical hospital admissions or health factors like diabetes and smoking - are common in late life, and surgery likely contributes minimally to long-term cognitive change for most patients. Summary: Patients should be reassured that, while anecdotes of durable cognitive change after surgery are easily accessible, most patients experience cognitive recovery after major surgery. However, those who do not recover deserve characterization of their symptoms and investigation of modifiable causes to facilitate cognitive recovery.

Indexed as

CognitionDementiaPOCDPostoperative neurocognitive disorderSurgery

Identifiers

PMID38784119
PMCPMC11115381

What OpenQuestion holds

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Registered trials

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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.