Evidence map›Paper›PMID 29531418›Full record

ArticleBulletin of the World Health Organization2018

Integrating tuberculosis and antimicrobial resistance control programmes.

Rumina Hasan, Sadia Shakoor, Johanna Hanefeld, Mishal Khan

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

4 authors.

Rumina HasanDepartment of Pathology & Laboratory Medicine, Aga Khan University, Stadium Road, PO Box 3500, Karachi 74800, Pakistan.
Sadia ShakoorDepartment of Pathology & Laboratory Medicine, Aga Khan University, Stadium Road, PO Box 3500, Karachi 74800, Pakistan.
Johanna HanefeldDepartment of Global Health & Development, London School of Hygiene and Tropical Medicine, London, England.
Mishal KhanDepartment of Global Health & Development, London School of Hygiene and Tropical Medicine, London, England.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many low- and middle-income countries facing high levels of antimicrobial resistance, and the associated morbidity from ineffective treatment, also have a high burden of tuberculosis. Over recent decades many countries have developed effective laboratory and information systems for tuberculosis control. In this paper we describe how existing tuberculosis laboratory systems can be expanded to accommodate antimicrobial resistance functions. We show how such expansion in services may benefit tuberculosis case-finding and laboratory capacity through integration of laboratory services. We further summarize the synergies between high-level strategies on tuberculosis and antimicrobial resistance control. These provide a potential platform for the integration of programmes and illustrate how integration at the health-service delivery level for diagnostic services could occur in practice in a low- and middle-income setting. Many potential mutual benefits of integration exist, in terms of accelerated scale-up of diagnostic testing towards rational use of antimicrobial drugs as well as optimal use of resources and sharing of experience. Integration of vertical disease programmes with separate funding streams is not without challenges, however, and we also discuss barriers to integration and identify opportunities and incentives to overcome these.

Indexed as

Delivery of Health Care, IntegratedDrug Resistance, BacterialAnti-Bacterial AgentsHealth ServicesHumansIncomeTuberculosisAnti-Bacterial Agents

Identifiers

PMID29531418
PMCPMC5840628

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.