Evidence map›Paper›PMID 34586931›Full record

Trial reportThe Journal of international medical research2021

Establishment of a prognostic model for patients with sepsis based on SOFA: a retrospective cohort study.

Hui Liu, Luming Zhang, Fengshuo Xu, Shaojin Li, Zichen Wang, Didi Han, Feng Zhang, Jun Lyu, Haiyan Yin

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The Journal of international medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  18. Early Lactate/Albumin and Procalcitonin/Albumin Ratios as Predictors of 28-Day Mortality in ICU-Admitted Sepsis Patients: A Retrospective Cohort Study.Medical science monitor : international medical journal of experimental and clinical research · 2023
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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

9 authors.

Hui LiuIntensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China.
Luming ZhangIntensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China.
Fengshuo XuDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China.
Shaojin LiDepartment of Orthopaedics, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China.
Zichen WangDepartment of Public Health, University of California, Irvine, CA, USA.
Didi HanDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China.
Feng ZhangIntensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China.
Jun LyuDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China.ORCID https://orcid.org/0000-0002-2237-8771
Haiyan YinIntensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China.ORCID https://orcid.org/0000-0002-9680-4219

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo construct a nomogram based on the Sequential Organ Failure Assessment (SOFA) that is more accurate in predicting 30-, 60-, and 90-day mortality risk in patients with sepsis.

methodsData from patients with sepsis were retrospectively collected from the Medical Information Mart for Intensive Care (MIMIC) database. Included patients were randomly divided into training and validation cohorts. Variables were selected using a backward stepwise selection method with Cox regression, then used to construct a prognostic nomogram. The nomogram was compared with the SOFA model using the concordance index (C-index), area under the time-dependent receiver operating characteristics curve (AUC), net reclassification improvement (NRI), integrated discrimination improvement (IDI), calibration plotting, and decision-curve analysis (DCA).

resultsA total of 5240 patients were included in the study. Patient's age, SOFA score, metastatic cancer, SpO

conclusionA nomogram was established that performed better than the SOFA in predicting 30-, 60-, and 90-day mortality risk in patients with sepsis.

Indexed as

NomogramsSepsisHumansIntensive Care UnitsPrognosisRetrospective StudiesROC CurveSEER ProgramMIMIC-IIImortalitynomogramsepsisSOFAsurvival

Identifiers

PMID34586931
PMCPMC8485318

What OpenQuestion holds

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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.