Evidence map›Paper›PMID 28059956›Full record

ReviewCurrent opinion in HIV and AIDS2017

Improving laboratory efficiencies to scale-up HIV viral load testing.

George Alemnji, Philip Onyebujoh, John N Nkengasong

Abstract readReview
In one paragraph

Review in Current opinion in HIV and AIDS, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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.

George AlemnjiaDivision of Global HIV and Tuberculosis, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia bState Department Office of the Global AIDS Coordinator and Health Diplomacy (S/GAC), Washington, D. C., USA cWorld Health Organization, Regional Office for Africa, Intercountry Support Team for East and Southern Africa, Harare, Zimbabwe.
Philip Onyebujoh
John N Nkengasong

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

purpose of reviewViral load measurement is a key indicator that determines patients' response to treatment and risk for disease progression. Efforts are ongoing in different countries to scale-up access to viral load testing to meet the Joint United Nations Programme on HIV and AIDS target of achieving 90% viral suppression among HIV-infected patients receiving antiretroviral therapy. However, the impact of these initiatives may be challenged by increased inefficiencies along the viral load testing spectrum. This will translate to increased costs and ineffectiveness of scale-up approaches. This review describes different parameters that could be addressed across the viral load testing spectrum aimed at improving efficiencies and utilizing test results for patient management. RECENT

findingsThough progress is being made in some countries to scale-up viral load, many others still face numerous challenges that may affect scale-up efficiencies: weak demand creation, ineffective supply chain management systems; poor specimen referral systems; inadequate data and quality management systems; and weak laboratory-clinical interface leading to diminished uptake of test results. SUMMARY: In scaling up access to viral load testing, there should be a renewed focus to address efficiencies across the entire spectrum, including factors related to access, uptake, and impact of test results.

Indexed as

Anti-HIV AgentsClinical Laboratory ServicesDisease ManagementDrug MonitoringGlobal HealthHIV InfectionsHumansViral LoadAnti-HIV Agents

Identifiers

PMID28059956
PMCPMC13081754

What OpenQuestion holds

Textmetadata
LicenceTDM
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.