Evidence map›Paper›PMID 32637121›Full record

ArticleJournal of intensive care2020

Development of a nomogram to predict 30-day mortality of patients with sepsis-associated encephalopathy: a retrospective cohort study.

Yang Yang, Shengru Liang, Jie Geng, Qiuhe Wang, Pan Wang, Yuan Cao, Rong Li, Guodong Gao, Lihong Li

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of intensive care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 2% 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

68 citing papers in PubMed, 1 synthesis or guideline pooled it, 95 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Article
  16. Article
  17. Observational
  18. Article
  19. Article
  20. Review

8 more citing papers are in PubMed but not listed here.

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 at 5 institutions in 1 country.

Yang Yang *Department of Neurosurgery, Tangdu Hospital, Air Force Medical University, Xi'an, 710038 China.
Shengru Liang *Department of Endocrinology, Xijing Hospital, Air Force Medical University, Xi'an, 710032 China.
Jie Geng *Department of Surgery, Tangdu Hospital, Air Force Medical University, Xi'an, 710038 China.
Qiuhe WangDepartment of Liver Disease and Digestive Interventional Radiology, National Clinical Research Centre for Digestive Disease and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, 710032 China.
Pan WangInstitute of Medical Research Northwestern Polytechnical University, Xi'an, 710072 China.
Yuan CaoDepartment of Neurosurgery, Xijing Hospital, Air Force Medical University, Xi'an, 710032 China.
Rong LiDepartment of Neurosurgery, The 986th Hospital of Chinese People's Libertation Army, Xi'an, 710054 China.
Guodong Gao *Department of Neurosurgery, Tangdu Hospital, Air Force Medical University, Xi'an, 710038 China.
Lihong Li *Department of Emergency, Tangdu Hospital, Air Force Medical University, Xi'an, 710038 China.ORCID 0000-0003-4991-9037
Tang Du Hospital · CNXijing Hospital · CNNational Clinical Research Center for Digestive Diseases · CNNorthwestern Polytechnical University · CNThe 309th Hospital of Chinese People's Liberation Army · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis-associated encephalopathy (SAE) is related to increased short-term mortality in patients with sepsis. We aim to establish a user-friendly nomogram for individual prediction of 30-day risk of mortality in patients with SAE.

methodsData were retrospectively retrieved from the Medical Information Mart for Intensive Care (MIMIC III) open source clinical database. SAE was defined by Glasgow Coma Score (GCS) < 15 or delirium at the presence of sepsis. Prediction model with a nomogram was constructed in the training set by logistic regression analysis and then undergone internal validation and sensitivity analysis.

resultsSAE accounted for about 50% in patients with sepsis and was independently associated with the 30-day mortality of sepsis. Variables eligible for the nomogram included patient's age and clinical parameters on the first day of ICU admission including the GCS score, lactate, bilirubin, red blood cell distribution width (RDW), mean value of respiratory rate and temperature, and the use of vasopressor. Compared with Sequential Organ Failure Assessment (SOFA) and Logistic Organ Dysfunction System (LODS), the nomogram exhibited better discrimination with an area under the receiver operating characteristic curve (AUROC) of 0.763 (95%CI 0.736-0.791,

conclusionsSAE is related to increased 30-day mortality of patients with sepsis. The nomogram presents excellent performance in predicting 30-day risk of mortality in SAE patients, which can be used to evaluate the prognosis of patients with SAE and may be more beneficial once specific treatments towards SAE are developed.

Indexed as

30-day mortalityNomogramRDWSepsisSepsis-associated encephalopathy

Identifiers

PMID32637121
PMCPMC7331133
OpenAlexW3040120889

What OpenQuestion holds

Textmetadata
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.