Evidence map›Paper›PMID 38264034›Full record

ArticleFrontiers in medicine2023

Dynamic increase in myoglobin level is associated with poor prognosis in critically ill patients: a retrospective cohort study.

Yishan Liu, Jinlong Jiang, Hao Yuan, Luhao Wang, Wenliang Song, Fei Pei, Xiang Si, Shumin Miao, Minying Chen, Bin Gu and 2 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

12 authors.

Yishan Liu *Department of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jinlong Jiang *Department of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Hao Yuan *Department of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Luhao Wang *Department of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Wenliang SongDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Fei PeiDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xiang SiDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Shumin MiaoDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Minying ChenDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Bin GuDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xiangdong GuanDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jianfeng WuDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Myoglobin is an important biomarker for monitoring critically ill patients. However, the relationship between its dynamic changes and prognosis remains unclear. Methods: We retrospectively enrolled 11,218 critically ill patients from a general and surgical intensive care unit (ICU) of a tertiary hospital between June 2016 and May 2020. Patients with acute cardiovascular events, cardiac and major vascular surgeries, and rhabdomyolysis were excluded. To investigate the early myoglobin distribution, the critically ill patients were stratified according to the highest myoglobin level within 48 h after ICU admission. Based on this, the critically ill patients with more than three measurements within 1 week after ICU admission were included, and latent class trajectory modeling was used to classify the patients. The characteristics and outcomes were compared among groups. Sensitivity analysis was performed to exclude patients who had died within 72 h after ICU admission. Restricted mean survival time regression model based on pseudo values was used to determine the 28-day relative changes in survival time among latent classes. The primary outcome was evaluated with comparison of in-hospital mortality among each Trajectory group, and the secondary outcome was 28-day mortality. Results: Of 6,872 critically ill patients, 3,886 (56.5%) had an elevated myoglobin level (≥150 ng/mL) at admission to ICU, and the in-hospital mortality significantly increased when myoglobin level exceeded 1,000 μg/mL. In LCTM, 2,448 patients were unsupervisedly divided into four groups, including the steady group ( Conclusion: Elevated myoglobin level is common in critically ill patients admitted to the ICU. Dynamic monitoring of myoglobin levels offers benefit for the prognosis assessment of critically ill patients.

Indexed as

critically ill patientsin-hospital motalitymyoglobinpost-surgerySepsis

Identifiers

PMID38264034
PMCPMC10804859

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.