Evidence map›Paper›PMID 33983474›Full record

ArticleInternal and emergency medicine2021

Predicting Mycoplasma pneumoniae and Chlamydophila pneumoniae in community-acquired pneumonia (CAP) pneumonia: epidemiological study of respiratory tract infection using multiplex PCR assays.

Naoto Ishimaru, Satoshi Suzuki, Toshio Shimokawa, Yusaku Akashi, Yuto Takeuchi, Atsuo Ueda, Saori Kinami, Hisashi Ohnishi, Hiromichi Suzuki, Yasuharu Tokuda and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Internal and emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. WACPN: A Neural Network for Pneumonia Diagnosis.Computer systems science and engineering · 2023
    Article
  4. Epidemiological Study onFrontiers in cellular and infection microbiology · 2022
    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

11 authors at 6 institutions in 1 country.

Naoto IshimaruDepartment of General Internal Medicine, Akashi Medical Center, 743-33, Ohkubo-Cho Yagi, Akashi, Hyogo, 674-0063, Japan. maru-tkb@umin.ac.jp.ORCID http://orcid.org/0000-0002-3034-7588
Satoshi SuzukiDepartment of General Medicine, Tone Chuo Hospital, Numata, Gunma, Japan.
Toshio ShimokawaClinical Study Support Center, Wakayama Medical University, Wakayama, Japan.
Yusaku AkashiDivision of Infectious Diseases, Department of Medicine, Tsukuba Medical Center Hospital, Tsukuba, Ibaraki, Japan.
Yuto TakeuchiDivision of Infectious Diseases, Department of Medicine, Tsukuba Medical Center Hospital, Tsukuba, Ibaraki, Japan.
Atsuo UedaDepartment of Clinical Laboratory, Tsukuba Medical Center Hospital, Tsukuba, Ibaraki, Japan.
Saori KinamiDepartment of General Internal Medicine, Akashi Medical Center, 743-33, Ohkubo-Cho Yagi, Akashi, Hyogo, 674-0063, Japan.
Hisashi OhnishiDepartment of Respiratory Medicine, Akashi Medical Center, Akashi, Hyogo, Japan.
Hiromichi SuzukiDivision of Infectious Diseases, Department of Medicine, Tsukuba Medical Center Hospital, Tsukuba, Ibaraki, Japan.
Yasuharu TokudaMuribushi Okinawa for Teaching Hospitals, Okinawa, Japan.
Tetsuhiro MaenoDepartment of Primary Care and Medical Education, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Tsukuba Medical Center Hospital · JPAkashi Medical Center · JPGunma Chuo Hospital · JPOkinawa Red Cross Hospital · JPUniversity of Tsukuba · JPWakayama Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Community-acquired pneumonia (CAP) is a common illness that can lead to mortality. β-lactams are ineffective against atypical pathogen including Mycoplasma pneumoniae. We used molecular examinations to develop a decision tree to predict atypical pathogens with CAP and to examine the prevalence of macrolide resistance in Mycoplasma pneumoniae. We conducted a prospective observational study of patients aged ≥ 18 years who had fever and respiratory symptoms and were diagnosed with CAP in one of two community hospitals between December 2016 and October 2018. We assessed combinations of clinical variables that best predicted atypical pathogens with CAP by classification and regression tree (CART) analysis. Pneumonia was defined as respiratory symptoms and new infiltration recognized on chest X-ray or chest computed tomography. We analyzed 47 patients (21 females, 44.7%, mean age: 47.6 years). Atypical pathogens were detected in 15 patients (31.9%; 12 Mycoplasma pneumoniae, 3 Chlamydophila pneumoniae). Ten patients carried macrolide resistant Mycoplasma pneumoniae (macrolide resistant rate 83.3%). CART analysis suggested that factors associated with presence of atypical pathogens were absence of crackles, age < 45 years, and LD ≥ 183 U/L (sensitivity 86.7% [59.5, 98.3], specificity 96.9% [83.8, 99.9]). ur simple clinical decision rules can be used to identify primary care patients with CAP that are at risk for atypical pathogens. Further research is needed to validate its usefulness in various populations.Trial registration Clinical Trial (UMIN trial ID: UMIN000035346).

Indexed as

AdultAgedAnti-Bacterial AgentsArea Under CurveChlamydophila pneumoniaeCommunity-Acquired InfectionsEpidemiologic StudiesFemaleHumansJapanMaleMiddle AgedMycoplasma pneumoniaePneumoniaPolymerase Chain ReactionPrevalenceAnti-Bacterial AgentsAtypical pathogensClassification and regression tree analysisClinical prediction rulesCommunity-acquired pneumoniaJapanese

Identifiers

PMID33983474
PMCPMC8116829
OpenAlexW3161203089

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.