Evidence map›Paper›PMID 22377371›Full record

ArticleEmerging infectious diseases2012

A systematic approach for discovering novel, clinically relevant bacteria.

Robert Schlaberg, Keith E Simmon, Mark A Fisher

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Pathogens (Basel, Switzerland) · 2026
    Article
  2. Microorganisms · 2025
    Article
  3. The Use of Next-Generation Sequencing in Personalized Medicine.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  4. Microbiology ofOpen forum infectious diseases · 2024
    Article
  5. Article
  6. Article
  7. Review
  8. Phenotypic correlates of the working dog microbiome.NPJ biofilms and microbiomes · 2022
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

3 authors.

Robert SchlabergUniversity of Utah School of Medicine, Salt Lake City, Utah, USA. robert.schlaberg@path.utah.edu
Keith E Simmon
Mark A Fisher

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sequencing of the 16S rRNA gene (16S) is a reference method for bacterial identification. Its expanded use has led to increased recognition of novel bacterial species. In most clinical laboratories, novel species are infrequently encountered, and their pathogenic potential is often difficult to assess. We reviewed partial 16S sequences from >26,000 clinical isolates, analyzed during February 2006-June 2010, and identified 673 that have <99% sequence identity with valid reference sequences and are thus possibly novel species. Of these 673 isolates, 111 may represent novel genera (<95% identity). Isolates from 95 novel taxa were recovered from multiple patients, indicating possible clinical relevance. Most repeatedly encountered novel taxa belonged to the genera Nocardia (14 novel taxa, 42 isolates) and Actinomyces (12 novel taxa, 52 isolates). This systematic approach for recognition of novel species with potential diagnostic or therapeutic relevance provides a basis for epidemiologic surveys and improvement of sequence databases and may lead to identification of new clinical entities.

Indexed as

BacteriaBacterial Typing TechniquesHumansMolecular Sequence AnnotationMolecular Sequence DataRNA, Ribosomal, 16SSequence Analysis, DNARNA, Ribosomal, 16S

Identifiers

PMID22377371
PMCPMC3309591

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.