Evidence map›Paper›PMID 31583858›Full record

ReviewInfection & chemotherapy2019

Treatment of Extrapulmonary Nontuberculous Mycobacterial Diseases.

Yu Mi Wi

Open access · goldAbstract readReview
In one paragraph

Review in Infection & chemotherapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
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

49 citing papers in PubMed, 71 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. PaediatricOxford medical case reports · 2025
    Article
  7. Review
  8. Native Knee Septic Arthritis WithArthroplasty today · 2025
    Review
  9. Review
  10. Article
  11. Case Report:Frontiers in immunology · 2025
    Article
  12. Review
  13. Extrapulmonary Comparisons BetweenInfection and drug resistance · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

1 author at 1 institution in 1 country.

Yu Mi WiDivision of Infectious Diseases, Samsung Changwon Hospital, Sungkyunkwan University, Changwon, Korea. yumi.wi@skku.edu.ORCID https://orcid.org/0000-0003-3625-3328
Samsung (South Korea) · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nontuberculous mycobacteria (NTM) diseases mainly manifest as pulmonary illnesses, but 20 -30% of NTM isolates originate from extrapulmonary diseases. These diseases cause a variety of clinical syndromes, including skin and soft-tissue infections, musculoskeletal infections, lymphadenitis, and disseminated disease. In skin and soft-tissue infections, musculoskeletal infections, prolonged treatment with combinations of antibiotics is effective in the treatment of NTM diseases, with surgery as an important complementary tool. The recommended duration of therapy for skin and soft-tissue infection is usually 2 - 4 months for mild disease and 6 months for severe disease, while treatment of musculoskeletal NTM disease usually requires at least 6 - 12 months. Management options of NTM lymphadenitis include surgical intervention, medical therapy, or observation. Treatment of disseminated NTM disease generally requires 6 to 12 months after immune restoration. However, despite a considerable increase in knowledge about NTM diseases, determining optimal treatment approaches remains a complex and challenging task.

Indexed as

ExtrapulmonaryMusculoskeletal infectionsNontuberculous mycobacteriaSkin and soft-tissue infections

Identifiers

PMID31583858
PMCPMC6779577
OpenAlexW2979197195

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.