Evidence map›Paper›PMID 27529628›Full record

ArticlePloS one2016

Microbiological Characteristics and Predictive Factors for Mortality in Pleural Infection: A Single-Center Cohort Study in Korea.

Cheol-Kyu Park, Hyoung-Joo Oh, Ha-Young Choi, Hong-Joon Shin, Jung Hwan Lim, In-Jae Oh, Yu-Il Kim, Sung-Chul Lim, Young-Chul Kim, Yong-Soo Kwon

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Review
  6. Article
  7. Recent Insights into the Management of Pleural Infection.International journal of general medicine · 2021
    Review
  8. 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

10 authors at 1 institution in 1 country.

Cheol-Kyu ParkDepartment of Internal Medicine, Chonnam National University Hospital, Gwangju, South Korea.
Hyoung-Joo OhDepartment of Internal Medicine, Chonnam National University Hospital, Gwangju, South Korea.
Ha-Young ChoiDepartment of Internal Medicine, Chonnam National University Hospital, Gwangju, South Korea.
Hong-Joon ShinDepartment of Internal Medicine, Chonnam National University Hospital, Gwangju, South Korea.
Jung Hwan LimDepartment of Internal Medicine, Chonnam National University Hospital, Gwangju, South Korea.
In-Jae OhDepartment of Internal Medicine, Chonnam National University Hospital, Gwangju, South Korea.
Yu-Il KimDepartment of Internal Medicine, Chonnam National University Hospital, Gwangju, South Korea.
Sung-Chul LimDepartment of Internal Medicine, Chonnam National University Hospital, Gwangju, South Korea.
Young-Chul KimDepartment of Internal Medicine, Chonnam National University Hospital, Gwangju, South Korea.
Yong-Soo KwonDepartment of Internal Medicine, Chonnam National University Hospital, Gwangju, South Korea.
Chonnam National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentification and understanding of the pathogens responsible for pleural infection is critical for appropriate antibiotic treatment. This study sought to determine the microbiological characteristics of pleural infection and to identify potential predictive factors associated with mortality.

methodsIn this retrospective study, we analyzed patient data from 421 cases of parapneumonic effusion. A total of 184 microorganisms were isolated from 164 patients, using two culture systems: a standard method and a method using pairs of aerobic and anaerobic blood culture bottles.

resultsThe most frequently isolated microorganisms were streptococci (31.5%), followed by staphylococci (23.4%), gram-negative bacteria (18.5%) and anaerobes (10.3%). Streptococci were the main microorganisms found in standard culture (41.9%) and community-acquired infections (52.2%), and were susceptible to all antimicrobial agents in drug sensitivity testing. Staphylococci were the most frequently isolated pathogens in blood cultures (30.8%) and hospital-acquired infections (38.3%), and were primarily multidrug-resistant (61.8%). In multivariate analysis, the following were significant predictive factors for 30-day mortality among the total population: CURB-65 ≥ 2 (aOR 5.549, 95% CI 2.296-13.407, p<0.001), structural lung disease (aOR 2.708, 95% CI 1.346-5.379, p = 0.004), PSI risk class IV-V (aOR 4.714, 95% CI 1.530-14.524, p = 0.007), no use of intrapleural fibrinolytics (aOR 3.062, 95% CI 1.102-8.511, p = 0.014), hospital-acquired infection (aOR 2.205, 95% CI 1.165-4.172, p = 0.015), age (aOR 0.964, 95% CI 0.935-0.994, p = 0.018), and SOFA score ≥2 (aOR 2.361, 95% CI 1.134-4.916, p = 0.022).

conclusionIn this study, common pathogens causing pleural infection were comparable to previous studies, and consisted of streptococci, staphylococci, and anaerobes. CURB-65 ≥2, structural lung disease, PSI risk class IV-V, no use of intrapleural fibrinolytics, hospital-acquired infection, older age, and SOFA score ≥ 2 are potential predictors of mortality in pleural infection.

Indexed as

AgedBacteriaCohort StudiesFemaleFungiHumansMaleMiddle AgedPleural EffusionPrognosisRepublic of KoreaRetrospective Studies

Identifiers

PMID27529628
PMCPMC4987063
OpenAlexW2511476392

What OpenQuestion holds

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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.