Evidence map›Paper›PMID 34044824›Full record

Trial reportBMC endocrine disorders2021

Hyperlactatemia associated with diabetic ketoacidosis in pediatric intensive care unit.

Jingwei Liu, Haibo Yan, Yumei Li

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in BMC endocrine disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

3 authors at 1 institution in 1 country.

Jingwei LiuDepartment of Pediatric Intensive Care Unit, The First Hospital of Jilin University, Xin Min Street, 130021, Changchun, China.
Haibo YanDepartment of Pediatric Intensive Care Unit, The First Hospital of Jilin University, Xin Min Street, 130021, Changchun, China.
Yumei LiDepartment of Pediatric Intensive Care Unit, The First Hospital of Jilin University, Xin Min Street, 130021, Changchun, China. ym_li@jlu.edu.cn.
First Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChildren with diabetic ketoacidosis often have elevated lactate. In this study, we investigated the clinical variables associated with hyperlactatemia in children with diabetic ketoacidosis.

methodsWe designed a single-center retrospective descriptive study of children with diabetic ketoacidosis in a pediatric intensive care unit.

resultsOf the 107 patients with diabetic ketoacidosis included in the analysis, 61 developed hyperlactatemia. Multivariate logistic regression analysis showed that heart rate (p = 0.003),diastolic blood pressure (p = 0.001) and stage of severity (p = 0.042) were independently associated with the development of hyperlactatemia in diabetic ketoacidosis. We found that lactate level was not significantly associated with length of hospital stay (p = 0.115) or the length of time to diabetic ketoacidosis resolution (p = 0.143).

conclusionsChildren with diabetic ketoacidosis presenting with severer stage, elevated heart rate and higher diastolic blood pressure may be prone to hyperlactatemia. Hyperlactatemia was not associated with length of time to DKA resolution and length of hospital stay.

Indexed as

Severity of Illness IndexBiomarkersChildDiabetic KetoacidosisFemaleFollow-Up StudiesHumansHyperlactatemiaIntensive Care Units, PediatricLactic AcidLength of StayMalePrognosisRetrospective StudiesBiomarkersLactic AcidDiabetes mellitusDiabetic ketoacidosisLactate

Identifiers

PMID34044824
PMCPMC8157405
OpenAlexW3165086452

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.