Evidence map›Paper›PMID 30656560›Full record

ReviewIndian journal of pediatrics2019

Diagnosis and Management of Multidrug-Resistant Tuberculosis in Children: A Practical Approach.

H Simon Schaaf

Abstract readReview
PubMed Publisher
In one paragraph

Review in Indian journal of pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Trends and challenges of multi-drug resistance in childhood tuberculosis.Frontiers in cellular and infection microbiology · 2023
    Review
  6. Article
  7. Review
  8. Article
  9. Management of drug-resistant tuberculosis.Lancet (London, England) · 2019
    Review
  10. Advances in Tuberculosis: Therapeutics.Indian journal of pediatrics · 2019
    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

1 author.

H Simon SchaafDepartment of Pediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, PO Box 241, Cape Town, 8000, South Africa. hss@sun.ac.za.ORCID 0000-0001-5755-4133

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Approximately 25,000 children develop multidrug-resistant (MDR) tuberculosis (TB) each year, but few of them are diagnosed and appropriately treated for MDR-TB. New diagnostic tools have improved our ability to diagnose children with bacteriologically confirmed TB earlier. However, the majority of childhood TB cases are not bacteriologically confirmed; therefore a high index of suspicion is needed, and taking a detailed history of contact with drug-resistant source cases and previous TB treatment is important to identify presumed MDR-TB cases. Treatment for MDR-TB is rapidly changing with the addition of new and repurposed drugs, the introduction of shorter regimens and the move towards injectable-free, all-oral MDR-TB treatment regimens. Children have been neglected in the introduction of the new drugs, but drug dosing and safety studies are now being completed. This article presents a practical approach in deciding which regimen to use in individual children in need of MDR-TB treatment. Outcomes in those treated are generally good, but only <5% of children with MDR-TB are currently diagnosed and appropriately treated. Diagnosing children with MDR-TB and getting them on to correct treatment regimens should now be our main focus.

Indexed as

Administration, OralAntitubercular AgentsChildDose-Response Relationship, DrugDrug Administration ScheduleHumansMicrobial Sensitivity TestsTuberculosis, Multidrug-ResistantAntitubercular AgentsChildren. DiagnosisManagementMultidrug-resistantTuberculosis

Identifiers

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.