Evidence map›Paper›PMID 33225902›Full record

Observational studyBMC anesthesiology2020

C-reactive protein concentration as a risk predictor of mortality in intensive care unit: a multicenter, prospective, observational study.

Rong Qu, Linhui Hu, Yun Ling, Yating Hou, Heng Fang, Huidan Zhang, Silin Liang, Zhimei He, Miaoxian Fang, Jiaxin Li and 2 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC anesthesiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Comparison between the NUTRIC score and modified NUTRIC score to predict hospital mortality in patients undergoing cardiac surgery: A retrospective study.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2026
    Article
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  9. Carbapenem-resistantFrontiers in medicine · 2026
    Article
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  13. Observational
  14. Optical Bionanosensors for Sepsis Diagnostics.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Review
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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

12 authors at 4 institutions in 1 country.

Rong QuThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China.
Linhui HuDepartment of Critical Care Medicine, Maoming People's Hospital, 101 Weimin Road, Maoming, 525000, Guangdong, China.
Yun LingDepartment of Critical Care Medicine, Huizhou Municipal Central Hospital, 41 North E'ling Road, Huizhou, 516001, Guangdong, China.
Yating HouClinical Research Center, Maoming People's Hospital, 101 Weimin Road, Maoming, 525000, Guangdong, China.
Heng FangDepartment of Intensive Care Unit of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 96 Dongchuan Road, Guangzhou, 510080, Guangdong, China.
Huidan ZhangDepartment of Intensive Care Unit of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 96 Dongchuan Road, Guangzhou, 510080, Guangdong, China.
Silin LiangDepartment of Intensive Care Unit of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 96 Dongchuan Road, Guangzhou, 510080, Guangdong, China.
Zhimei HeDepartment of Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong, China.
Miaoxian FangDepartment of Intensive Care Unit of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 96 Dongchuan Road, Guangzhou, 510080, Guangdong, China.
Jiaxin LiDepartment of Intensive Care Unit of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 96 Dongchuan Road, Guangzhou, 510080, Guangdong, China.
Xu LiState Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou, Guangdong, China. mylx99@smu.edu.cn.
Chunbo ChenThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China. gghccm@163.com.ORCID 0000-0001-5662-497X
Guangdong Academy of Medical Sciences · CNHuizhou Central People's Hospital · CNNanfang Hospital · CNSecond Affiliated Hospital of Guangzhou Medical University · CN

Funding

Emergent Science and Technology Project for Prevention and Treatment of Novel Coronavirus Pneumonia of Maoming City and High-level Hospital Construction Research Project of Maoming People's Hospital #2020YJ01Guangdong Province High-level Hospital Construction Project of Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences No.DFJH2020028Guangzhou Science, Technology and Innovation Commission (CN) #201803010058
6 · The paper itself

Abstract

backgroundIt is not clear whether there are valuable inflammatory markers for prognosis judgment in the intensive care unit (ICU). We therefore conducted a multicenter, prospective, observational study to evaluate the prognostic role of inflammatory markers.

methodsThe clinical and laboratory data of patients at admission, including C-reactive protein (CRP), were collected in four general ICUs from September 1, 2018, to August 1, 2019. Multivariate logistic regression was used to identify factors independently associated with nonsurvival. The area under the receiver operating characteristic curve (AUC-ROC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to evaluate the effect size of different factors in predicting mortality during ICU stay. 3 -knots were used to assess whether alternative cut points for these biomarkers were more appropriate.

resultsA total of 813 patients were recruited, among whom 121 patients (14.88%) died during the ICU stay. The AUC-ROC values of PCT and CRP for discriminating ICU mortality were 0.696 (95% confidence interval [CI], 0.650-0.743) and 0.684 (95% CI, 0.633-0.735), respectively. In the multivariable analysis, only APACHE II score (odds ratio, 1.166; 95% CI, 1.129-1.203; P = 0.000) and CRP concentration > 62.8 mg/L (odds ratio, 2.145; 95% CI, 1.343-3.427; P = 0.001), were significantly associated with an increased risk of ICU mortality. Moreover, the combination of APACHE II score and CRP > 62.8 mg/L significantly improved risk reclassification over the APACHE II score alone, with NRI (0.556) and IDI (0.013). Restricted cubic spline analysis confirmed that CRP concentration > 62.8 mg/L was the optimal cut-off value for differentiating between surviving and nonsurviving patients.

conclusionCRP markedly improved risk reclassification for prognosis prediction.

Indexed as

Hospital MortalityIntensive Care UnitsAdultAgedChinaC-Reactive ProteinFemaleHumansInflammationMaleMiddle AgedPredictive Value of TestsProspective StudiesRisk AssessmentC-Reactive ProteinBiomarkerC-reactive proteinIntensive care unitMortalityPredictorProcalcitonin

Identifiers

PMID33225902
PMCPMC7680994
OpenAlexW3107059992

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.