Evidence map›Paper›PMID 35011073›Full record

ArticleNutrients2021

Significance of the Modified NUTRIC Score for Predicting Clinical Outcomes in Patients with Severe Community-Acquired Pneumonia.

Chia-Cheng Tseng, Chih-Yen Tu, Chia-Hung Chen, Yao-Tung Wang, Wei-Chih Chen, Pin-Kuei Fu, Chin-Ming Chen, Chih-Cheng Lai, Li-Kuo Kuo, Shih-Chi Ku and 1 more

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05744609 (Development and Validation of a Risk Score for Predicting Severe Outcomes Among Children Hospitalized With Community-acquired Pneumonia), which is not on this map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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.

NCT05744609 completednot on this map

Development and Validation of a Risk Score for Predicting Severe Outcomes Among Children Hospitalized With Community-acquired Pneumonia

TypeobservationalSponsorChildren's Hospital of Fudan UniversityRan2017 to 2022Enrolled6,000ConditionsPneumonia, Child, PrognosisArmsexposures of interest: epidemiological data, clinical characteristics, laboratory data, and chest radiographic reports
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. 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
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Bayesian Analysis of Modified Nutrition Risk in Critically Ill (mNUTRIC) Score for Mortality Prediction in Critically Ill Patients.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025
    Article
  20. 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.

Chia-Cheng TsengDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan.ORCID 0000-0001-6613-0439
Chih-Yen TuDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, China Medical University Hospital, Taichung 404, Taiwan.
Chia-Hung ChenDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, China Medical University Hospital, Taichung 404, Taiwan.
Yao-Tung WangDivision of Pulmonary Medicine, Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung 402, Taiwan.ORCID 0000-0002-0300-0896
Wei-Chih ChenDepartment of Chest Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.ORCID 0000-0003-4172-5529
Pin-Kuei FuDepartment of Critical Care Medicine, Taichung Veterans General Hospital, Taichung 407219, Taiwan.ORCID 0000-0002-9416-4094
Chin-Ming ChenDepartment of Intensive Care Medicine, Chi Mei Medical Centre, Tainan 710, Taiwan.ORCID 0000-0002-7183-0787
Chih-Cheng LaiDepartment of Internal Medicine, Kaohsiung Veterans General Hospital, Tainan Branch, Tainan 71051, Taiwan.ORCID 0000-0002-6334-2388
Li-Kuo KuoDivision of Pulmonary and Critical Care Medicine, MacKay Memorial Hospital, Taipei 10449, Taiwan.
Shih-Chi KuDivision of Chest Medicine, Department of Internal Medicine, National Taiwan University Hospital, Taipei 100, Taiwan.ORCID 0000-0002-4123-0967
Wen-Feng FangDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan.ORCID 0000-0003-0350-9059

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nutritional status could affect clinical outcomes in critical patients. We aimed to determine the prognostic accuracy of the modified Nutrition Risk in Critically Ill (mNUTRIC) score for hospital mortality and treatment outcomes in patients with severe community-acquired pneumonia (SCAP) compared to other clinical prediction rules. We enrolled SCAP patients in a multi-center setting retrospectively. The mNUTRIC score and clinical prediction rules for pneumonia, as well as clinical factors, were calculated and recorded. Clinical outcomes, including mortality status and treatment outcome, were assessed after the patient was discharged. We used the receiver operating characteristic (ROC) curve method and multivariate logistic regression analysis to determine the prognostic accuracy of the mNUTRIC score for predicting clinical outcomes compared to clinical prediction rules, while 815 SCAP patients were enrolled. ROC curve analysis showed that the mNUTRIC score was the most effective at predicting each clinical outcome and had the highest area under the ROC curve value. The cut-off value for predicting clinical outcomes was 5.5. By multivariate logistic regression analysis, the mNUTRIC score was also an independent predictor of both clinical outcomes in SCAP patients. We concluded that the mNUTRIC score is a better prognostic factor for predicting clinical outcomes in SCAP patients compared to other clinical prediction rules.

Indexed as

Critical IllnessHospital MortalityNutritional StatusTreatment OutcomeAgedAged, 80 and overAPACHECommunity-Acquired InfectionsFemaleHumansIntensive Care UnitsMaleMiddle AgedNutrition AssessmentPneumoniaRetrospective Studiesclinical outcomenutritionsevere community-acquired pneumonia

Identifiers

PMID35011073
PMCPMC8747298

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.