Evidence map›Paper›PMID 17484939›Full record

Trial reportGeneral hospital psychiatry

Improving treatment of depression among low-income patients with cancer: the design of the ADAPt-C study.

Kathleen Ell, Brenda Quon, David I Quinn, Megan Dwight-Johnson, Anjanette Wells, Pey-Jiuan Lee, Bin Xie

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in General hospital psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00565110 (Effectiveness Study of a Stepped Care Depression Algorithm for Patients With Cancer), which is not on this map. Cited by 19 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 4 pooled it
1.5field-weighted citation impact, top 18% 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.

NCT00565110 nacompletednot on this map

Effectiveness Study of a Stepped Care Depression Algorithm for Patients With Cancer

TypeinterventionalSponsorUniversity of Southern CaliforniaRan2004 to 2010Enrolled472ConditionsMajor Depression, DysthymiaArmsADAPt-C intervention
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 4 syntheses or guidelines pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Collaborative care for depression and anxiety problems.The Cochrane database of systematic reviews · 2012
    Pooled it
  5. Trial
  6. Depression and family interaction among low-income, predominantly hispanic cancer patients: a longitudinal analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2014
    Trial
  7. Low-income cancer patients in depression treatment: dropouts and completers.The journal of behavioral health services & research · 2013
    Trial
  8. Randomized controlled trial of collaborative care management of depression among low-income patients with cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2008
    Trial
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Occurrence of comorbidities among African-American and Latina breast cancer survivors.Journal of cancer survivorship : research and practice · 2014
    Article
  15. Article
  16. Navigating the advanced cancer experience of underserved Latinas.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2012
    Article
  17. Article
  18. Article
  19. Collaborative depression treatment in older and younger adults with physical illness: pooled comparative analysis of three randomized clinical trials.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2010
    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

7 authors at 2 institutions in 1 country.

Kathleen EllSchool of Social Work, University of Southern California, Los Angeles, CA 90089-0411, USA. ell@usc.edu
Brenda Quon
David I Quinn
Megan Dwight-Johnson
Anjanette Wells
Pey-Jiuan Lee
Bin Xie
University of Southern California · USUniversity of Washington · US

Funding

Multifaceted Oncology Depression Program for LatinosR01CA105269 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ELL, KATHLEEN R · 2004 to 2007
$2.7M
NCI NIH HHS R01 CA105269
6 · The paper itself

Abstract

objectiveThis article describes the randomized clinical trial methodology for a population-based study of oncology patients receiving cancer care in a public sector medical center. The primary goal is to test the effectiveness of socioculturally tailored collaborative care intervention in improving depression and quality of life outcomes among low-income ethnic minority patients with major depression and cancer.

methodsThe Patient Health Questionnaire (PHQ-9) depression scale was used to identify patients meeting criteria for major depression (one cardinal depression symptom plus a PHQ-9 score of > or =10). Study-eligible patients were >/=90 days from cancer diagnosis who were receiving acute cancer treatment or follow-up care in oncology clinics. Patients with advanced disease limiting life expectancy to <6 months, acutely suicidal or on antipsychotic medication were excluded. Allowing for attrition due to death or loss to follow-up, the study was powered at the 80% level to detect a 20% difference between study arms in the proportion of patients with >/=50% reduction in PHQ-9 symptoms at 12 months.

resultsOf 2330 patients screened, 23.2% met criteria. An 82.4% enrollment rate resulted in 446 primarily women being recruited and randomized to intervention or usual care.

conclusionThe study applies methods used in primary care depression trials with adaptations for oncology care clinics and for low-income minority patients.

Indexed as

Academic Medical CentersAgedAlgorithmsDepressionFemaleHispanic or LatinoHumansMaleMiddle AgedNeoplasmsPovertyPsychiatric Status Rating ScalesQuality of LifeResearch Design

Identifiers

PMID17484939
PMCPMC1868447
OpenAlexW2038439803

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.