Evidence map›Paper›PMID 26170931›Full record

ArticleExperimental and therapeutic medicine2015

Evaluation and significance of C-reactive protein in the clinical diagnosis of severe pneumonia.

Jianjun Wu, Y U Jin, Hailong Li, Zhiping Xie, Jinsong Li, Yuanyun Ao, Zhaojun Duan

Abstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Factors Associated With Pneumonia Severity in Children: A Systematic Review.Journal of the Pediatric Infectious Diseases Society · 2018
    Pooled it
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  15. VCS parameters of neutrophils, monocytes and lymphocytes may indicate local bacterial infection in cancer patients who accepted cytotoxic chemotherapeutics.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2016
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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

7 authors.

Jianjun WuGansu Traditional Chinese Medical University, Lanzhou, Gansu 730000, P.R. China ; School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu 730000, P.R. China.
Y U JinSchool of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu 730000, P.R. China ; Nanjing Children's Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210008, P.R. China.
Hailong LiGansu Traditional Chinese Medical University, Lanzhou, Gansu 730000, P.R. China.
Zhiping XieNational Institute for Viral Disease Control and Prevention, China CDC, Beijing 100052, P.R. China.
Jinsong LiNational Institute for Viral Disease Control and Prevention, China CDC, Beijing 100052, P.R. China.
Yuanyun AoNational Institute for Viral Disease Control and Prevention, China CDC, Beijing 100052, P.R. China.
Zhaojun DuanNational Institute for Viral Disease Control and Prevention, China CDC, Beijing 100052, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe pneumonia is a major cause of mortality in children. The present study evaluated the diagnostic value of serum C-reactive protein (CRP) levels for cases of severe pneumonia. A total of 862 children, hospitalized for acute respiratory tract infections, were evaluated between September 2008 and February 2011; the serum levels of CRP were measured in all the children. Bacterial identification was performed, while polymerase chain reaction was used to detect the 12 respiratory viruses. Multivariate logistic regression analysis was performed with independent [CRP, proportion of neutrophils (NEUT), body temperature, sputum production, age and dyspnea] and dependent (severe and mild pneumonia) variables for clinical diagnosis, which produced three new variables that represented an individual's predictive value: Pre-1, Pre-2 and Pre-3. A receiver operating characteristic (ROC) curve was generated using the new variables to assess their predictive value for severe pneumonia. Of the 862 patients, 108 individuals were diagnosed with severe pneumonia and 754 individuals had mild pneumonia. Increased levels of CRP were associated with severe pneumonia and bacterial infection (P<0.05). Multivariate logistic regression analysis found that severe pneumonia was associated with the levels of CRP, body temperature, expectoration, age, NEUT and dyspnea (P<0.05). The ROC curve of the regression diagnostics model sequentially presented CRP, CRP and the other five correlative variables (NEUT + body temperature + sputum production + age + dyspnea) and the other five correlative variables used to diagnose severe pneumonia. The area under curve values were determined as 0.550 for Pre-1 [95% confidence interval (CI), 0.490-0.609], 0.897 for Pre-2 (95% CI, 0.861-0.932) and 0.893 for Pre-3 (95% CI, 0.855-0.931). The results revealed that the six correlative variables had improved accuracy in the diagnosis of severe pneumonia. The serum levels of CRP were strongly associated with bacterial infection and severe pneumonia. Therefore, the CRP level, along with other parameters, may be used as early indicators of severe pneumonia development. However, the efficiency of the CRP level alone to diagnose severe pneumonia was found to be limited.

Indexed as

clinical diagnosisC-reactive proteinsevere pneumonia

Identifiers

PMID26170931
PMCPMC4486960

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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.