Evidence map›Paper›PMID 33004974›Full record

ArticleScientific reports2020

Trajectories of longitudinal biomarkers for mortality in severely burned patients.

Jaechul Yoon, Dohern Kym, Jae Hee Won, Jun Hur, Haejun Yim, Yong Suk Cho, Wook Chun

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
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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

7 authors.

Jaechul Yoon *Department of Surgery and Critical Care, Burn Center, Hangang Sacred Heart Hospital, College of Medicine, Hallym University, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, Republic of Korea.
Dohern Kym *Department of Surgery and Critical Care, Burn Center, Hangang Sacred Heart Hospital, College of Medicine, Hallym University, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, Republic of Korea.ORCID http://orcid.org/0000-0001-9178-0599
Jae Hee WonDepartment of Surgery and Critical Care, Burn Center, Hangang Sacred Heart Hospital, College of Medicine, Hallym University, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, Republic of Korea.
Jun HurDepartment of Surgery and Critical Care, Burn Center, Hangang Sacred Heart Hospital, College of Medicine, Hallym University, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, Republic of Korea. hammerj@hallym.or.kr.
Haejun YimDepartment of Surgery and Critical Care, Burn Center, Hangang Sacred Heart Hospital, College of Medicine, Hallym University, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, Republic of Korea.
Yong Suk ChoDepartment of Surgery and Critical Care, Burn Center, Hangang Sacred Heart Hospital, College of Medicine, Hallym University, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, Republic of Korea.
Wook ChunDepartment of Surgery and Critical Care, Burn Center, Hangang Sacred Heart Hospital, College of Medicine, Hallym University, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the differences in the trajectory of blood biomarkers routinely assessed through forward- and backward-looking approaches among burn patients. This cohort study included patients above 18 years of age from February 2007 to December 2018. All the biomarkers were estimated from admission to discharge from the intensive care unit. Significant differences were observed in the platelet count at 40 days, prothrombin time (PT) at 32 days, white blood cell count at 26 days, creatinine levels at 22 days, and lactate and total bilirubin levels at 19 days before death. In reverse order, significant differences were observed in the fitted model in platelet count at 44 days and in the platelet count and PT at 33 days. We obtained more valuable information from the longitudinal biomarker trajectory using the backward-looking method than using the forward-looking method. The platelet count served as the earliest predictor of mortality among burn patients.

Indexed as

Severity of Illness IndexAdultAgedBiomarkersBurnsFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleMiddle AgedPlatelet CountPrognosisProthrombin TimeRetrospective StudiesSurvival RateBiomarkers

Identifiers

PMID33004974
PMCPMC7530734

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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.