Evidence map›Paper›PMID 38782617›Full record

ArticleBritish journal of anaesthesia2024

Prevalence and characteristics of preoperative patients with depression.

Tuuli M Hietamies, Ashleigh E Smith, Theresa R Lii, Evan Muzzall, Josephine Flohr, Robin L Okada, Zachary G Andriella, Cynthia A Nyongesa, Lisa J Cianfichi, Laura M Hack and 1 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in British journal of anaesthesia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Observational
  5. Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Tuuli M HietamiesDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Ashleigh E SmithDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Theresa R LiiDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Evan MuzzallSoftware and Services for Data Science, Stanford Libraries, Stanford, CA, USA.
Josephine FlohrDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Robin L OkadaDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Zachary G AndriellaDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Cynthia A NyongesaDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Lisa J CianfichiDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
Laura M HackDepartment of Psychiatry and Behavioral Science, Stanford University School of Medicine, Stanford, CA, USA; Sierra Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), VA Palo Alto Health Care System, Palo Alto, CA, USA.
Boris D HeifetsDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA; Department of Psychiatry and Behavioral Science, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: bheifets@stanford.edu.

Funding

Interdisciplinary Research Training in Pain and Substance Use DisordersT32DA035165 · NIDA · STANFORD UNIVERSITY · PI SEAN C MACKEY · 2013 to 2026
$7.2M
NIDA NIH HHS T32 DA035165
6 · The paper itself

Abstract

backgroundWithin the perioperative period, depression-related diagnoses are associated with postoperative complications. We developed a perioperative depression screening programme to assess disease prevalence and feasibility for intervention.

methodsAdult patients in multiple surgical departments at a single academic centre were screened for depression via the electronic health record patient portal or preoperative anaesthesia clinic before surgery, using the Patient Health Questionnaire (PHQ)-2 and -8. We utilised a broad method, screening all patients, and a focused method, only screening patients with a history of depression. Logistic regression was used to identify characteristics associated with clinically significant depression (PHQ-8 ≥10). Symptomatic patients were administered a brief psychoeducational intervention and referred for mental health services.

resultsA total of 3735 patients were identified by the broad and focused screens, of whom 2940 (79%) returned PHQ-2 data and were included in analysis. The broad screen (N=1216) found 46 (4%) patients who reported symptoms of moderate or greater severity. The focused screen (N=1724) found 242 (14%) patients with symptoms of moderate or greater severity and over all higher rates of depression across the symptom severity scale. Using the total screened pool, logistic regression identified a history of depression as the strongest associated patient characteristic variable but this did not capture most cases. Finally, we found that 66% of patients who were contacted about mental health services accepted referrals or sought outside care.

conclusionsAt least 4% of preoperative patients have clinically significant symptoms of depression, most of whom do not have a chart history of depression.

Indexed as

DepressionPreoperative CareAdultAgedFeasibility StudiesFemaleHumansMaleMass ScreeningMiddle AgedPostoperative ComplicationsPreoperative PeriodPrevalencedepressionmental health servicesPatient Health Questionnaireperioperativeperioperative depressionpreoperative depression screeningscreening programme

Identifiers

PMID38782617
PMCPMC12163386

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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.