Evidence map›Paper›PMID 17880862›Full record

SynthesisCurrent psychiatry reports2007

A systematic review of the quality of information on the treatment of anxiety disorders on the internet.

Jonathan C Ipser, Sarah Dewing, Dan J Stein

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Current psychiatry reports, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Quality of Web-based information on obsessive compulsive disorder.Neuropsychiatric disease and treatment · 2013
    Article
  12. Use of the internet to assist in the treatment of depression and anxiety: a systematic review.Primary care companion to the Journal of clinical 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

3 authors.

Jonathan C IpserDepartment of Psychiatry and Mental Health, University of Cape Town, Groote Schuur Hospital, Observatory, South Africa. jipser@curie.uct.ac.za
Sarah Dewing
Dan J Stein

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A vast amount of information describing health interventions is available on the Internet. This paper describes the systematic retrieval and quality assessment of websites containing information on the treatment of anxiety disorders. Separate searches were conducted for information on generalized anxiety disorder, obsessive-compulsive disorder, panic disorder, post-traumatic stress disorder, social anxiety disorder, and specific phobia. The Google, Yahoo, and MSN search engines yielded 540 results, 110 of which were eligible for inclusion. Sixty-seven unique websites were identified. The DISCERN scale was used to evaluate quality of content. The authors also compared the websites in terms of popularity, readability, and a range of technical criteria. Websites were generally of poor to moderate quality. Higher-quality scores were obtained for websites whose authors attributed their sources and provided a clear statement of the purpose of the website. The paper closes by considering limitations of the review and possible future research avenues.

Indexed as

Quality Assurance, Health CareAnxiety DisordersConsumer Health InformationHumansInformation Storage and RetrievalInternetQuality Indicators, Health CareSoftware

Identifiers

PMID17880862

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.