Evidence map›Paper›PMID 38765059›Full record

ReviewACS environmental Au2024

Toward Characterizing Environmental Sources of Non-tuberculous Mycobacteria (NTM) at the Species Level: A Tutorial Review of NTM Phylogeny and Phylogenetic Classification.

Lin Zhang, Tzu-Yu Lin, Wen-Tso Liu, Fangqiong Ling

Abstract readReview
In one paragraph

Review in ACS environmental Au, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Comparative Analysis of Evolutionary Distances Using the GenusInternational journal of molecular sciences · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Comparative evaluation of MALDI-ToF mass spectrometry and Sanger sequencing of theFrontiers in cellular and infection microbiology · 2025
    Article
  13. Resistance phenotypes and genomic features ofFrontiers in cellular and infection microbiology · 2025
    Article
  14. Article
  15. 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.

Lin ZhangDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.ORCID https://orcid.org/0000-0001-9115-6585
Tzu-Yu LinDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.ORCID https://orcid.org/0000-0003-0548-6495
Wen-Tso LiuDepartment of Civil and Environmental Engineering, University of Illinois, Urbana-Champaign, Urbana, Illinois 61801, United States.ORCID https://orcid.org/0000-0002-8700-9803
Fangqiong LingDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.ORCID https://orcid.org/0000-0003-1546-5647

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nontuberculous mycobacteria (NTM) are any mycobacteria that do not cause tuberculosis or leprosy. While the majority of NTM are harmless and some of them are considered probiotic, a growing number of people are being diagnosed with NTM infections. Therefore, their detection in the environment is of interest to clinicians, environmental microbiologists, and water quality researchers alike. This review provides a tutorial on the foundational approaches for taxonomic classifications, with a focus on the phylogenetic relationships among NTM revealed by the 16S rRNA gene,

Identifiers

PMID38765059
PMCPMC11100324

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.