Evidence map›Paper›PMID 39447147›Full record

ArticleEmerging infectious diseases2024

Extrapulmonary Mycobacterium abscessus Infections, France, 2012-2020

Benoît Heid-Picard, Faiza Mougari, Anne Pouvaret, Fanny Lanternier, Zeina Awad, Emmanuelle Bille, Olivier Lortholary, Emmanuelle Cambau, Mabsc Study Group

Abstract readHistorical Article
In one paragraph

Article in Emerging infectious diseases, 2024. 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. Review
  2. Review
  3. Article
  4. Article
  5. Case Report: SuspectedFrontiers in medicine · 2026
    Article
  6. Article
  7. Pathological and immune features of non-tuberculous mycobacteria andFrontiers in cellular and infection microbiology · 2025
    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

9 authors.

Benoît Heid-Picard
Faiza Mougari
Anne Pouvaret
Fanny Lanternier
Zeina Awad
Emmanuelle Bille
Olivier Lortholary
Emmanuelle Cambau
Mabsc Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mycobacterium abscessus infection is challenging to treat. Extrapulmonary M. abscessus infections (EP-MAB) are less common than pulmonary M. abscessus infections. To evaluate treatment regimens, we retrospectively analyzed consecutive microbiologically confirmed EP-MAB cases diagnosed in France during 2012-2020. We studied 45 patients with EP-MAB, including 14 bone and joint infections, 10 skin and soft tissue infections, and 8 lymph node infections. Most (62%) patients had no reported immunodeficiency. In 27 patients, EP-MAB followed healthcare-associated (44%) or environmental (16%) injuries. Of the 45 isolates, 25 were subspecies abscessus, 10 bolletii, and 9 massiliense; 1 was unidentified. Cure was achieved for 36 (80%) patients who received a median antimicrobial regimen of 6 months; 22 (55%) also underwent surgery. Four patients died, and 5 were unavailable for follow-up. EP-MAB predominantly affects immunocompetent patients after an injury; outcomes are favorable. We propose a >6-month regimen of antimicrobial therapy with consideration for surgery and regular patient reassessment.

Indexed as

Anti-Bacterial AgentsMycobacterium abscessusMycobacterium Infections, NontuberculousAdolescentAdultAgedAged, 80 and overChildFemaleFranceHistory, 21st CenturyHumansMaleMiddle AgedRetrospective StudiesYoung AdultAnti-Bacterial Agentsemerging communicable diseasesextrapulmonaryFrancehealthcare-associated infectionMycobacterium abscessusnontuberculous mycobacteriatravel medicinetuberculosis and other mycobacteria

Identifiers

PMID39447147
PMCPMC11521186

What OpenQuestion holds

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Registered trials

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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.