Evidence map›Paper›PMID 25874715›Full record

ArticlePloS one2015

Bacteriological assessment of healthcare-associated pneumonia using a clone library analysis.

Shingo Noguchi, Hiroshi Mukae, Toshinori Kawanami, Kei Yamasaki, Kazumasa Fukuda, Kentarou Akata, Hiroshi Ishimoto, Hatsumi Taniguchi, Kazuhiro Yatera

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Risk factors for drug-resistant pathogens in community-acquired pneumonia: systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2025
    Pooled it
  2. Article
  3. Article
  4. Combined Radiographic Features and Age Can DistinguishJournal of clinical medicine · 2022
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Pathogenic microorganism detection in AIDS patients using bronchoalveolar lavage fluid.International journal of clinical and experimental pathology · 2020
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

9 authors.

Shingo NoguchiDepartment of Respiratory Medicine, University of Occupational and Environmental Health, Japan, Kitakyusyu, Fukuoka, Japan.
Hiroshi MukaeDepartment of Respiratory Medicine, University of Occupational and Environmental Health, Japan, Kitakyusyu, Fukuoka, Japan.
Toshinori KawanamiDepartment of Respiratory Medicine, University of Occupational and Environmental Health, Japan, Kitakyusyu, Fukuoka, Japan.
Kei YamasakiDepartment of Respiratory Medicine, University of Occupational and Environmental Health, Japan, Kitakyusyu, Fukuoka, Japan.
Kazumasa FukudaDepartment of Microbiology, University of Occupational and Environmental Health, Japan, Kitakyusyu, Fukuoka, Japan.
Kentarou AkataDepartment of Respiratory Medicine, University of Occupational and Environmental Health, Japan, Kitakyusyu, Fukuoka, Japan.
Hiroshi IshimotoDepartment of Respiratory Medicine, University of Occupational and Environmental Health, Japan, Kitakyusyu, Fukuoka, Japan.
Hatsumi TaniguchiDepartment of Microbiology, University of Occupational and Environmental Health, Japan, Kitakyusyu, Fukuoka, Japan.
Kazuhiro YateraDepartment of Respiratory Medicine, University of Occupational and Environmental Health, Japan, Kitakyusyu, Fukuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe causative pathogens of healthcare-associated pneumonia (HCAP) remain controversial, and the use of conventional cultivation of sputum samples is occasionally inappropriate due to the potential for oral bacterial contamination. It is also sometimes difficult to determine whether methicillin-resistant Staphylococcus aureus (MRSA) is a true causative pathogen of HCAP.

methodsWe evaluated the bacterial diversity in bronchoalveolar lavage fluid (BALF) using molecular and cultivation methods in 82 HCAP patients. BALF specimens were obtained from the lesions of pneumonia using bronchoscopy. The bacterial flora was analyzed according to the clone library method using amplified fragments of the 16S ribosomal RNA gene with universal primers. In addition, sputum cultures and the above specimens were assessed.

resultsEighty (97.6%) of the 82 BALF samples obtained from the patients with HCAP showed positive polymerase chain reaction results. The predominant phylotypes detected in the BALF in this study included bacteria common in cases of community- and hospital-acquired pneumonia. In addition, the phylotypes of streptococci and anaerobes were detected in 19 (23.2%) and 8 (9.8%) cases, respectively. In particular, phylotypes of streptococci were highly detected among the patients 75 of age or older. Staphylococcus aureus was cultured in 23 (28.0%) cases using conventional cultivation methods and detected in only 6 (7.3%) cases as predominant phylotypes according to the clone library method.

conclusionsThe clone library analysis of BALF in the HCAP patients detected heterogeneous bacteria and a high incidence of streptococci compared with that observed using cultivation methods. In addition, the results of our study may indicate a lower incidence of MRSA than previously expected in HCAP patients.

Indexed as

Genes, BacterialAgedAged, 80 and overBronchoalveolar Lavage FluidBronchoscopyCross InfectionFemaleGene LibraryHumansMaleMethicillin-Resistant Staphylococcus aureusPneumonia, BacterialRNA, Ribosomal, 16SSputumStreptococcusRNA, Ribosomal, 16S

Identifiers

PMID25874715
PMCPMC4398420

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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.