Evidence map›Paper›PMID 19460164›Full record

ArticleHealth research policy and systems2009

Developing a conceptual framework for an evaluation system for the NIAID HIV/AIDS clinical trials networks.

Jonathan M Kagan, Mary Kane, Kathleen M Quinlan, Scott Rosas, William M K Trochim

Abstract read
In one paragraph

Article in Health research policy and systems, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Strategy management in collaborative clinical research partnerships.Contemporary clinical trials communications · 2021
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  17. Developing a research agenda for promoting physical activity in Brazil through environmental and policy change.Revista panamericana de salud publica = Pan American journal of public health · 2012
    Article
  18. Community-researcher partnerships at NIAID HIV/AIDS clinical trials sites: insights for evaluation and enhancement.Progress in community health partnerships : research, education, and action · 2012
    Article
  19. Article
  20. 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

5 authors.

Jonathan M KaganDivision of Clinical Research, NIAID/NIH, Bethesda, Maryland, USA. jkagan@niaid.nih.gov
Mary Kane
Kathleen M Quinlan
Scott Rosas
William M K Trochim

Funding

NIAID NIH HHS N01 AI050022
6 · The paper itself

Abstract

Globally, health research organizations are called upon to re-examine their policies and practices to more efficiently and effectively address current scientific and social needs, as well as increasing public demands for accountability.Through a case study approach, the authors examine an effort undertaken by the National Institute of Allergy & Infectious Diseases (part of the National Institutes of Health, Department of Health & Human Services, United States Government) to develop an evaluation system for its recently restructured HIV/AIDS clinical trials program. The challenges in designing, operationalizing, and managing global clinical trials programs are considered in the context of large scale scientific research initiatives.Through a process of extensive stakeholder input, a framework of success factors was developed that enables both a prospective view of the elements that must be addressed in an evaluation of this research and a current state assessment of the extent to which the goals of the restructuring are understood by stakeholders across the DAIDS clinical research networks.

Identifiers

PMID19460164
PMCPMC2695433

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.