Evidence map›Paper›PMID 38664807›Full record

Observational studyCritical care (London, England)2024

Quantitative analysis of apparent diffusion coefficients to predict neurological prognosis in cardiac arrest survivors: an observational derivation and internal-external validation study.

Jung A Yoon, Changshin Kang, Jung Soo Park, Yeonho You, Jin Hong Min, Yong Nam In, Wonjoon Jeong, Hong Jun Ahn, Hye Seon Jeong, Yong Hwan Kim and 2 more

Abstract readObservational Study
In one paragraph

Observational study in Critical care (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Guideline
  3. Article
  4. Article
  5. [Neurological prognosis after cardiac arrest and resuscitation].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2026
    Review
  6. Article
  7. Observational
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

12 authors.

Jung A Yoon *Department of Emergency Medicine, Chungnam National University Hospital, Daejoen, Republic of Korea.
Changshin Kang *Department of Emergency Medicine, Chungnam National University Hospital, Daejoen, Republic of Korea.
Jung Soo ParkDepartment of Emergency Medicine, Chungnam National University Hospital, Daejoen, Republic of Korea. cpcr@cnu.ac.kr.
Yeonho YouDepartment of Emergency Medicine, Chungnam National University Hospital, Daejoen, Republic of Korea.
Jin Hong MinDepartment of Emergency Medicine, College of Medicine, Chungnam National University, 266 Munwha-ro, Jung-gu, Daejeon, 35015, Republic of Korea.
Yong Nam InDepartment of Emergency Medicine, College of Medicine, Chungnam National University, 266 Munwha-ro, Jung-gu, Daejeon, 35015, Republic of Korea.
Wonjoon JeongDepartment of Emergency Medicine, Chungnam National University Hospital, Daejoen, Republic of Korea.
Hong Jun AhnDepartment of Emergency Medicine, Chungnam National University Hospital, Daejoen, Republic of Korea.
Hye Seon JeongDepartment of Neurology, Chungnam National University Hospital, Daejoen, Republic of Korea.
Yong Hwan KimDepartment of Emergency Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Gyeongsangnam-do, Republic of Korea.
Byung Kook LeeDepartment of Emergency Medicine, Chonnam National University Medical School, Chonnam National University Hospital, Gwangju, Republic of Korea.
Dongha KimDepartment of Statistics, Sungshin Women's University, Seoul, Republic of Korea.

Funding

the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) NRF-2022R1I1A3063280
6 · The paper itself

Abstract

backgroundThis study aimed to validate apparent diffusion coefficient (ADC) values and thresholds to predict poor neurological outcomes in out-of-hospital cardiac arrest (OHCA) survivors by quantitatively analysing the ADC values via brain magnetic resonance imaging (MRI).

methodsThis observational study used prospectively collected data from two tertiary academic hospitals. The derivation cohort comprised 70% of the patients randomly selected from one hospital, whereas the internal validation cohort comprised the remaining 30%. The external validation cohort used the data from another hospital, and the MRI data were restricted to scans conducted at 3 T within 72-96 h after an OHCA experience. We analysed the percentage of brain volume below a specific ADC value at 50-step intervals ranging from 200 to 1200 × 10

resultsA total of 448 brain MRI scans were evaluated, including a derivation cohort (n = 224) and internal/external validation cohorts (n = 96/128, respectively). The proportion of brain volume with ADC values below 450, 500, 550, 600, and 650 × 10

conclusionsIn this validation study, by consistently restricting the MRI types and timing during quantitative analysis of ADC values in brain MRI, we observed high reproducibility and sensitivity at a 0% FPR. Prospective multicentre studies are necessary to validate these findings.

Indexed as

Out-of-Hospital Cardiac ArrestAgedBrainCohort StudiesDiffusion Magnetic Resonance ImagingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesSurvivorsBrainMagnetic resonance imagingOut-of-hospital cardiac arrestPrognosis

Identifiers

PMID38664807
PMCPMC11044301

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.