Evidence map›Paper›PMID 24930693›Full record

Observational studyPsycho-oncology2015

Patterns and predictors of antidepressant use in ambulatory cancer patients with common solid tumors.

Michael J Fisch, Fengmin Zhao, Judith Manola, Andrew H Miller, William F Pirl, Lynne I Wagner

Abstract readObservational Study
In one paragraph

Observational study in Psycho-oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Use of Medications for Treating Anxiety and Depression in Cancer Survivors in the United States.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2017
    Article
  12. Article
  13. 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

6 authors at 5 institutions in 1 country.

Michael J FischThe University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Fengmin Zhao
Judith Manola
Andrew H Miller
William F Pirl
Lynne I Wagner
Dana-Farber Cancer Institute · USEmory University · USMassachusetts General Hospital · USNorthwestern University · USThe University of Texas MD Anderson Cancer Center · US

Funding

ECOG-ACRIN NCORP Research Base - TMISTUG1CA189828 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer, MITCHELL D. SCHNALL · 2014 to 2026
$199.7M
Foreign Accrual - ECOGU10CA037403 · NCI · UNIVERSITY OF WISCONSIN MADISON · PI COMIS, ROBERT L · 1985 to 2014
$34.6M
ECOG Clinical TrialsU10CA017145 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BENSON, AL B · 1985 to 2013
$6.1M
NCI NIH HHS U10 CA017145NCI NIH HHS U10 CA037403NCI NIH HHS UG1 CA189828
6 · The paper itself

Abstract

purposeDepressive symptoms and antidepressant use are prevalent among cancer patients. We sought to identify determinants of prescribing commonly used antidepressants. PATIENTS AND

methodsThis multi-institutional study enrolled 3106 ambulatory patients with cancer of the breast, prostate, colon/rectum, or lung. Five case-finding methods were used to identify patients with depressive symptoms. Logistic models were used to examine factors that impact antidepressant use.

resultsApproximately, 47% of patients were defined as having depressive symptoms. Clinicians rated being sad/depressed as one of the top three priority problems for 10.5% of patients. Antidepressants were prescribed in 19% of all patients, 25% with depressive symptoms and 14% nondepressed patients. After adjusting for other covariates, these variable categories were significantly associated with greater use of antidepressants: depressive symptoms, family history of depression, concurrent medication use, cancer treatment status, and certain other clinical and demographic variables. The strongest individual predictors were concurrent use of more than 10 medications (odds ratio [OR] = 3.3), a family history of depression (OR = 2.2), sedative use (OR = 2.1), non-Hispanic white race (OR = 2.0), and anxiolytics use (OR = 2.0).

conclusionsDepressive symptoms are found in nearly half of outpatients with cancer, and one-fourth of patients with depressive symptoms are taking an antidepressant. Patients receiving antidepressants are more often those taking multiple medications, those with a depression diathesis, and those with more extensive cancer treatment. Patients who were younger, white, and female were also more likely to be taking antidepressants.

Indexed as

AdolescentAdultAgedAged, 80 and overAnti-Anxiety AgentsAntidepressive AgentsAnxietyBreast NeoplasmsColorectal NeoplasmsDepressionDepressive DisorderFemaleHumansHypnotics and SedativesLogistic ModelsLung NeoplasmsAnti-Anxiety AgentsAntidepressive AgentsHypnotics and Sedativesantidepressantscancerdepressionprescribingsymptoms

Identifiers

PMID24930693
PMCPMC4265573
OpenAlexW1624279600

What OpenQuestion holds

Textmetadata
LicenceTDM
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.