Evidence map›Paper›PMID 24633135›Full record

ArticlePloS one2014

Early detection of widespread progressive brain injury after cardiac arrest: a single case DTI and post-mortem histology study.

Jan S Gerdes, Ernst U Walther, Suad Jaganjac, Maria Makrigeorgi-Butera, Sven G Meuth, Michael Deppe

Open access · goldAbstract readCase Reports
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Jan S GerdesDepartment of Neurology, Schön Klinik Hamburg Eilbek, Hamburg, Germany.
Ernst U WaltherDepartment of Neurology, Schön Klinik Hamburg Eilbek, Hamburg, Germany.
Suad JaganjacDepartment of Radiology, Schön Klinik Hamburg Eilbek, Hamburg, Germany.
Maria Makrigeorgi-ButeraMVZ Hanse Histologikum GmbH, Hamburg, Germany.
Sven G MeuthDepartment of Neurology, University of Münster, Münster, Germany.
Michael DeppeDepartment of Neurology, University of Münster, Münster, Germany.
Schön Klinik Hamburg Eilbek · DEUniversity of Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe tested the hypothesis in sense of a proof of principle that white matter (WM) degeneration after cardiopulmonary arrest (CPA) can be assessed much earlier by diffusion tensor imaging (DTI) than by conventional MRI.

methodsWe performed DTI and T2-weighted FLAIR imaging over four serial acquisitions of a 76-year-old man with unresponsive wakefulness syndrome at day 41, 75, 173 and 284 after CPA. DTI was also performed in ten healthy control subjects. Fractional anisotropy (FA) derived from DTI was assessed in eleven regions of interest within the cerebral white matter (WM) and compared with post-mortem neuropathological findings.

resultsIn contrast to conventional FLAIR images that revealed only circumscribed WM damage, the first DTI demonstrated significant reduction of FA across the whole WM. The following FLAIR images (MRI 2-4) revealed increasing atrophy and leukoaraiosis paralleled by clinical deterioration with reduction of wakefulness and intractable seizures. Neuropathological findings confirmed the widespread and marked brain injury following CPA.

conclusionDTI may help to evaluate microstructural brain damage following CPA and may have predictive value for further evolution of cerebral degeneration in the chronic phase after CPA.

Indexed as

Diffusion Tensor ImagingDisease ProgressionAdultAgedAutopsyBrain InjuriesEarly DiagnosisHeart ArrestHumansMaleMiddle Aged

Identifiers

PMID24633135
PMCPMC3954875
OpenAlexW2029117631

What OpenQuestion holds

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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.