Evidence map›Paper›PMID 28134750›Full record

ReviewDiagnostics (Basel, Switzerland)2017

Exploring the Case for a Global Alliance for Medical Diagnostics Initiative.

Melissa L Mugambi, Kara M Palamountain, Jim Gallarda, Paul K Drain

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Exploration and Consideration of the Medical Alliance Modes.Iranian journal of public health · 2018
    Article
  7. Article
  8. 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.

Melissa L MugambiDepartment of Global Health, University of Washington, Seattle, WA 98195, USA. mugambi@uw.edu.
Kara M PalamountainKellogg School of Management, Northwestern University, Evanston, IL 60208, USA. k-palamountain@kellogg.northwestern.edu.
Jim GallardaBill and Melinda Gates Foundation, Seattle, WA 98109, USA. jim.gallarda@gatesfoundation.org.
Paul K DrainInternational Clinical Research Center, Department of Global Health, University of Washington, Seattle, WA 98195, USA. pkdrain@uw.edu.

Funding

Clinic-based Screening to Prevent HIV-associated Cryptococcal MortalityK23AI108293 · NIAID · UNIVERSITY OF WASHINGTON · PI DRAIN, PAUL K · 2014 to 2018
$928k
NIAID NIH HHS K23 AI108293
6 · The paper itself

Abstract

In recent years, the private and public sectors have increased investments in medical diagnostics for low- and middle-income countries (LMICs). Despite these investments, numerous barriers prevent the adoption of existing diagnostics and discourage the development and introduction of new diagnostics in LMICs. In the late 1990s, the global vaccine community had similar challenges, as vaccine coverage rates stagnated and the introduction of new vaccines was viewed as a distraction to delivering existing vaccines. To address these challenges, the international community came together and formed the Global Alliance for Vaccines Initiative (GAVI). Sixteen years after the formation of GAVI, we see evidence of a healthier global vaccine landscape. We discuss how GAVI's four guiding principles (product, health systems strengthening, financing and market shaping) might apply to the advancement of medical diagnostics in LMICs. We present arguments for the international community and existing organizations to establish a Global Alliance for Medical Diagnostics Initiative (GAMDI).

Indexed as

allianceglobal healthlow- and middle-income countriespoint-of-care diagnostics

Identifiers

PMID28134750
PMCPMC5373017

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.