Evidence map›Paper›PMID 22961116›Full record

ReviewCurrent diabetes reports2012

Health and psychosocial outcomes in U.S. adult patients with diabetes from diverse ethnicities.

Diana Naranjo, Danielle M Hessler, Rupinder Deol, Catherine A Chesla

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Trial
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  4. Article
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  8. Telehealth for Young Adults With Diabetes: Addressing Social Determinants of Health.Diabetes spectrum : a publication of the American Diabetes Association · 2021
    Article
  9. Article
  10. Article
  11. New research directions on disparities in obesity and type 2 diabetes.Annals of the New York Academy of Sciences · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

4 authors.

Diana NaranjoDepartment of Pediatrics, University of California San Francisco, 400 Parnassus Avenue, 4th Floor, UCSF, MailBox 0318, San Francisco, CA 94143-0318, USA. NaranjoD@peds.ucsf.edu
Danielle M Hessler
Rupinder Deol
Catherine A Chesla

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Within the United States, diabetes is a serious public health concern and patients with diabetes are more likely to experience clinical depression, psychological distress, and depressive symptoms than those without. Negative psychosocial factors are associated with poorer diabetes management and glycemic control. Overall, both the rates of diabetes and related psychological distress are greater for persons of diverse ethnicities than for non-Latino whites, and have reached epidemic proportions in certain groups. The following article will provide an overview across ethnicities of the rates of diabetes, health outcomes, psychosocial outcomes, and unique cultural and linguistic challenges that contribute to disparities within US diabetes patients of diverse ethnicities. Using this information, our hope is that health care practitioners and researchers alike can better respond to the psychosocial needs of ethnically diverse patients.

Indexed as

Quality of LifeDepressionDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Diabetic NephropathiesEthnicityFemaleHealth BehaviorHealth Knowledge, Attitudes, PracticeHealth Status DisparitiesHumansMalePatient Education as TopicPhysician-Patient RelationsSelf CareTreatment Outcome

Identifiers

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.