Evidence map›Paper›PMID 41350578›Full record

ArticleScientific reports2025

Lactate to hemoglobin ratio predicts short and long term mortality in critically ill patients with Gastrointestinal bleeding.

Qinglin Wu, Fulan Cen, Ying Xie, Xianjia Ning, Jinghua Wang, Zhenghao Lin, Jia Huang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Qinglin WuDepartment of Intensive Care Unit, Shenzhen Third People's Hospital, Shenzhen, 518112, Guangdong Province, China.
Fulan CenDepartment of Intensive Care Unit, Shenzhen Third People's Hospital, Shenzhen, 518112, Guangdong Province, China.
Ying XieGraduate School of Public Administration, Seoul National University, Seoul, South Korea.
Xianjia NingCenter of Clinical Epidemiology, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China.
Jinghua WangCenter of Clinical Epidemiology, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China.
Zhenghao LinDepartment of Intensive Care Unit, Shenzhen Third People's Hospital, Shenzhen, 518112, Guangdong Province, China. linzh2019@163.com.
Jia HuangDepartment of Intensive Care Unit, Shenzhen Third People's Hospital, Shenzhen, 518112, Guangdong Province, China. hjsunnyvale@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the lactate-to-hemoglobin ratio (LHR) as a novel biomarker for predicting short-term and long-term mortality in critically ill patients with gastrointestinal bleeding (GIB). Data from 1387 patients in the MIMIC - IV database were analyzed. Results showed that LHR was significantly associated with 7-day, 28-day and 365-day mortality. It had moderate discriminative ability in predicting mortality, with area under the curve (AUC) values ranging from 0.637 to 0.694. Compared with traditional markers and scoring systems, LHR has certain advantages. However, the study has limitations such as a retrospective design and single - center data. In conclusion, LHR shows promise as a prognostic tool for GIB patients, but further research is needed.

Indexed as

Critical IllnessGastrointestinal HemorrhageHemoglobinsLactic AcidAgedBiomarkersFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesROC CurveBiomarkersHemoglobinsLactic AcidGastrointestinal bleedingICULactate-to-hemoglobin ratioMIMIC-IVMortality

Identifiers

PMID41350578
PMCPMC12680706

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.