Evidence map›Paper›PMID 36482299›Full record

ArticleBMC anesthesiology2022

The combination of lactate level, lactate clearance and APACHE II score better predicts short-term outcomes in critically Ill patients: a retrospective cohort study.

Yongmei Cao, Sijia Yao, Jiawei Shang, Feng Ping, Qin Tan, Zijun Tian, Weifeng Huang, Yingchuan Li

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

Article in BMC anesthesiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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  9. Personalized statistical medicine.The Indian journal of medical 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

8 authors at 4 institutions in 1 country.

Yongmei Cao *Department of Critical Care Medicine, School of Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China.
Sijia Yao *Department of Anesthesiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Xuhui District, No. 600, Yishan Road, Shanghai, 200233, China.
Jiawei ShangDepartment of Critical Care Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Xuhui District, No. 600, Yishan Road, Shanghai, 200233, China.
Feng PingDepartment of Critical Care Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Xuhui District, No. 600, Yishan Road, Shanghai, 200233, China.
Qin TanDepartment of Anesthesiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Xuhui District, No. 600, Yishan Road, Shanghai, 200233, China.
Zijun TianDepartment of Anesthesiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Xuhui District, No. 600, Yishan Road, Shanghai, 200233, China.
Weifeng HuangDepartment of Critical Care Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Xuhui District, No. 600, Yishan Road, Shanghai, 200233, China.
Yingchuan LiDepartment of Critical Care Medicine, School of Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China. yingchuan.li@sjtu.edu.cn.
Shanghai Jiao Tong University · CNShanghai Sixth People's Hospital · CNShanghai Tenth People's Hospital · CNTongji University · CN

Funding

the Construction Projects of General hospital In Shanghai ZHYY-ZXYJHZX-2-2017010the Research Project of Medical Innovation In Shanghai 21Y11902800
6 · The paper itself

Abstract

backgroundThe mortality rate is high in critically ill patients due to the difficulty of diagnosis and treatment. Thus, it is very important to explore the predictive value of different indicators related to prognosis in critically ill patients.

methodsThis was a retrospective cohort study of patients in the intensive care unit (ICU) of the Sixth People's Hospital in Shanghai, China. A total of 1465 ICU patients had lactate values > 2.1 mmol/L at least once within 24 h of ICU admission, and arterial blood gas was monitored more than twice during the ICU stay.

resultsThe predictive value of lactate clearance at 24 h was not high, and the sensitivity and specificity were lower. The predictive value of the lactate level at baseline and the APACHE II score was higher than that of lactate clearance at 24 h in critically ill patients. The predictive value of the lactate level at baseline combined with the APACHE II score was higher than that of the lactate level at baseline or the APACHE II score alone. In addition, the predictive value of lactate clearance at 24 h combined with the APACHE II score was also significantly higher than that of lactate clearance at 24 h or the APACHE II score alone. In particular, the area under the ROC curve reached 0.900, the predictive value was markedly higher than that of the ROC alone, and the sensitivity and specificity were better when these three indicators were combined.

conclusionsThe combination of lactate level, lactate clearance and APACHE II score better predicts short-term outcomes in critically ill patients.

Indexed as

Lactic AcidAPACHEChinaHumansRetrospective StudiesLactic AcidAPACHE II scoreCritically ill patientsLactateLactate clearanceOutcome

Identifiers

PMID36482299
PMCPMC9733168
OpenAlexW4311581664

What OpenQuestion holds

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LicenceCC BY
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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.