Evidence map›Paper›PMID 33002026›Full record

ArticlePloS one2020

The temporality of uncertainty in decision-making and treatment of severe brain injury.

Mia Krogager Mathiasen, Lene Bastrup Jørgensen, Mette From, Lena Aadal, Hanne Pallesen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 2 institutions in 1 country.

Mia Krogager MathiasenSilkeborg Regional Hospital, Centre of Elective Surgery, RM, Silkeborg, Denmark.ORCID 0000-0003-2077-1286
Lene Bastrup JørgensenSilkeborg Regional Hospital, Centre of Elective Surgery, RM, Silkeborg, Denmark.
Mette FromSilkeborg Regional Hospital, Centre of Elective Surgery, RM, Silkeborg, Denmark.
Lena AadalDepartment of Clinical Medicine, Centre of Elective Surgery, Aarhus University, Aarhus, Denmark.
Hanne PallesenDepartment of Clinical Medicine, Centre of Elective Surgery, Aarhus University, Aarhus, Denmark.
Aarhus University · DKRegionshospitalet Silkeborg · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the study is to investigate how time and uncertainties of clinical action and decision-making plays out in the practical work of early neurorehabilitation in order to present new analytical ways to understand the underlying logics and dynamic social processes that take place during professional treatment of patients with severe acquired brain injury. Drawing on ethnographic fieldwork in a Danish neuro-intensive step-down unit (NISU) specialising in early neurorehabilitation, we found that negotiation of futures takes place in the modern ICU in the present by strategically building upon past experiences. We have argued that the clinical programme therefore cannot be understood only from a "here and now perspective", since the early neurorehabilitation practice is embedded in overlapping temporalities of the past, the present, and desired futures. The study discusses the underlying logics-often hidden or unnoticed-that impact clinical practice of early neurorehabilitation, in what we have termed a logic of clinical reenactment, a logic of future negotiation and a logic of paradox.

Indexed as

Anthropology, CulturalBrain InjuriesDecision MakingDenmarkHumansIntensive Care UnitsMaleMiddle AgedNeurological RehabilitationTime FactorsUncertainty

Identifiers

PMID33002026
PMCPMC7529300
OpenAlexW3090778417

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.