Evidence map›Paper›PMID 14662956›Full record

ArticleJournal of clinical microbiology2003

Characterization of a novel rapidly growing Mycobacterium species associated with sepsis.

Tao Hong, W Ray Butler, Frank Hollis, Margaret M Floyd, Sean R Toney, Yi-Wei Tang, Cindy Steele, Robert J Leggiadro

Open access · greenAbstract readCase Reports
In one paragraph

Article in Journal of clinical microbiology, 2003. 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
1.2field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 23 citations in OpenAlex.

  1. Taxonomic landscape of theFrontiers in microbiology · 2026
    Article
  2. Comparative Analysis of Evolutionary Distances Using the GenusInternational journal of molecular sciences · 2025
    Article
  3. Article
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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

8 authors at 3 institutions in 1 country.

Tao HongMicrobiology Laboratory, Department of Pathology, Hackensack University Medical Center, Hackensack. University of Medicine and Dentistry of New Jersey, Newark, New Jersey 07601, USA. thong@humed.com
W Ray Butler
Frank Hollis
Margaret M Floyd
Sean R Toney
Yi-Wei Tang
Cindy Steele
Robert J Leggiadro
National Center for Infectious Diseases · USHackensack University Medical Center · USVanderbilt University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A rapidly growing mycobacterium was isolated five times from blood cultures from a 6-year-old female patient with relapsed pre-B-cell acute lymphocytic leukemia. All five isolates had identical nucleotide sequences for the first 500 bp of the 16S rRNA gene, indicative of a single species. High-performance liquid chromatography analysis of mycolic acids indicated that the species was similar to Mycobacterium smegmatis. Sequence analysis of the 16S rRNA gene (1,455 bp) for one isolate demonstrated that the species was closely related to Mycobacterium diernhoferi. Based on the phenotypic features and phylogenetic analysis, it was concluded that the isolates represented a novel rapidly growing Mycobacterium species. The name "Mycobacterium hackensackense" is proposed for this unique strain, 147-0552(T), which was deposited in the American Type Culture Collection as ATCC BAA-823(T).

Indexed as

Base SequenceChildChromatography, High Pressure LiquidDNA, BacterialDNA, RibosomalFemaleHumansMicrobial Sensitivity TestsMycobacteriumMycobacterium smegmatisRNA, BacterialRNA, Ribosomal, 16SSepsisDNA, BacterialDNA, RibosomalRNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID14662956
PMCPMC308987
OpenAlexW2109342440

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.