Evidence map›Paper›PMID 26090415›Full record

ArticleBioMed research international2015

Modeling Fluid Resuscitation by Formulating Infusion Rate and Urine Output in Severe Thermal Burn Adult Patients: A Retrospective Cohort Study.

Qizhi Luo, Wei Li, Xin Zou, Yongming Dang, Kaifa Wang, Jun Wu, Yongqin Li

Abstract read
In one paragraph

Article in BioMed research international, 2015. 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. Mathematical model of volume kinetics and renal function after burn injury and resuscitation.Burns : journal of the International Society for Burn Injuries · 2021
    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.

Qizhi LuoBurn Research Institute, Southwest Hospital, State Key Lab of Trauma, Burn and Combined Injury, Third Military Medical University, Chongqing 400038, China.
Wei LiSchool of Biomedical Engineering, Third Military Medical University and Chongqing University, Chongqing 400038, China.
Xin ZouSchool of Biomedical Engineering, Third Military Medical University and Chongqing University, Chongqing 400038, China.
Yongming DangBurn Research Institute, Southwest Hospital, State Key Lab of Trauma, Burn and Combined Injury, Third Military Medical University, Chongqing 400038, China.
Kaifa WangSchool of Biomedical Engineering, Third Military Medical University and Chongqing University, Chongqing 400038, China.ORCID 0000-0002-6787-5018
Jun WuSchool of Biomedical Engineering, Third Military Medical University and Chongqing University, Chongqing 400038, China.
Yongqin LiSchool of Biomedical Engineering, Third Military Medical University and Chongqing University, Chongqing 400038, China.ORCID 0000-0002-6114-2382

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute burn injuries are among the most devastating forms of trauma and lead to significant morbidity and mortality. Appropriate fluid resuscitation after severe burn, specifically during the first 48 hours following injury, is considered as the single most important therapeutic intervention in burn treatment. Although many formulas have been developed to estimate the required fluid amount in severe burn patients, many lines of evidence showed that patients still receive far more fluid than formulas recommend. Overresuscitation, which is known as "fluid creep," has emerged as one of the most important problems during the initial period of burn care. If fluid titration can be personalized and automated during the resuscitation phase, more efficient burn care and outcome will be anticipated. In the present study, a dynamic urine output based infusion rate prediction model was developed and validated during the initial 48 hours in severe thermal burn adult patients. The experimental results demonstrated that the developed dynamic fluid resuscitation model might significantly reduce the total fluid volume by accurately predicting hourly urine output and has the potential to aid fluid administration in severe burn patients.

Indexed as

Fluid TherapyResuscitationAdolescentAdultBlood PressureBurnsFemaleHumansMaleMiddle Aged

Identifiers

PMID26090415
PMCPMC4442020

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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.