Evidence map›Paper›PMID 25046061›Full record

Trial reportAIDS patient care and STDs2014

Efficacy of an evidence-based ARV adherence intervention in China.

Ann B Williams, Honghong Wang, Xianhong Li, Jia Chen, Ling Li, Kristopher Fennie

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in AIDS patient care and STDs, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 7 pooled it
–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

15 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Review
  9. Article
  10. Review
  11. Article
  12. Nurse led home-based care for people with HIV/AIDS.BMC health services research · 2018
    Review
  13. Article
  14. Article
  15. Depression in HIV infected patients: a review.Current psychiatry reports · 2015
    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

6 authors.

Ann B Williams1 School of Nursing, University of California Los Angeles , Los Angeles, California.
Honghong Wang
Xianhong Li
Jia Chen
Ling Li
Kristopher Fennie

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We designed a randomized controlled trial of a home based intervention to improve antiretroviral adherence and to assess the impact of depressive symptoms among people living with HIV in Hunan, China. At baseline, 110 subjects reported taking 90% or less of prescribed medication. At 6 months, when the intervention ended, 56% of subjects in the control and 87% of subjects in the experimental group were adherent. This difference was maintained at 12 months. In multivariate analyses, controlling for baseline visual analogue adherence scale, stigma, social support, and Center for Epidemiological Studies Depression scale, the experimental group had a significantly higher proportion of people who were adherent (p=0.009). The high prevalence of significant depressive symptoms (67%) at baseline is of concern. It is of particular importance that future studies look at the types of depression likely to be seen in these patients and differentiate early between those likely to benefit from HIV-related support and those who will require additional depression-targeted interventions.

Indexed as

Evidence-Based MedicineAdultAnti-Retroviral AgentsChinaDepressionDrug MonitoringFemaleHIV InfectionsHumansMaleMedication AdherenceMiddle AgedMultivariate AnalysisPrevalencePsychiatric Status Rating ScalesSocial StigmaAnti-Retroviral Agents

Identifiers

PMID25046061
PMCPMC4117258

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.