Evidence map›Paper›PMID 42545486›Full record

ReviewUnfallchirurgie (Heidelberg, Germany)2026

[Diagnostic algorithm for the management of patients ≥ 65 years with a mild traumatic brain injury in the emergency department].

Anne Neubert, Astrid Göldner, Stefanie Williams, Michael Bernhard, Carina Jaekel, Denise Schulz, Joachim Windolf, Dan Bieler

Abstract readReviewEnglish Abstract
In one paragraph

Review in Unfallchirurgie (Heidelberg, Germany), 2026. 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
–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

0 citing papers in PubMed.

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

8 authors.

Anne NeubertKlinik für Orthopädie und Unfallchirurgie, Medizinische Fakultät und Universitätsklinikum Düsseldorf, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland. anne.neubert@med.uni-duesseldorf.de.ORCID https://orcid.org/0000-0002-6323-3747
Astrid GöldnerKlinik für Gynäkologie, Helios Krankenhaus Krefeld, Krefeld, Deutschland.
Stefanie WilliamsStowers Institute for Medical Research, Kansas City, MO, USA.ORCID https://orcid.org/0000-0003-2197-3891
Michael BernhardZentrale Notaufnahme, Medizinische Fakultät und Universitätsklinikum Düsseldorf, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland.ORCID https://orcid.org/0000-0003-1179-7943
Carina JaekelKlinik für Orthopädie und Unfallchirurgie, Medizinische Fakultät und Universitätsklinikum Düsseldorf, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland.ORCID https://orcid.org/0000-0003-2188-3861
Denise SchulzKlinik für Orthopädie und Unfallchirurgie, Medizinische Fakultät und Universitätsklinikum Düsseldorf, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland.ORCID https://orcid.org/0000-0001-9285-7746
Joachim WindolfUniversitätsklinikum RTWH Aachen, Aachen, Deutschland.
Dan BielerKlinik für Unfallchirurgie und Orthopädie, Hand‑, Wiederherstellungs- und Plastische Chirurgie, Bundeswehrzentralkrankenhaus Koblenz, Koblenz, Deutschland.ORCID https://orcid.org/0000-0002-0708-1259

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMild traumatic brain injury (TBI) following low-impact trauma, such as falls from ground level, frequently affects older patients in the emergency department. Due to the demographic change, an increase in this type of injury in emergency departments is to be expected. The aim of this study was to develop an evidence-based diagnostic algorithm for patients ≥ 65 years of age with mild TBI who present to the emergency department.

methodsSystematic reviews with literature searches in MEDLINE (English/German) and manual searches of references were conducted for three diagnostic questions. Studies were evaluated using the  Methodological index for nonrandomized studies. Data synthesis was performed using vote counting based on direction of effect and the evaluation of clinical influencing factors.

resultsA database search yielded 52 studies involving 142,037 patients. For initial cranial imaging using cranial computed tomography (cCT), an approach based on six clinical influencing factors could be an alternative to routine imaging. In asymptomatic patients with no neurological abnormalities, neurological monitoring without standardized control cCT is conceivable; however, there are no reliable data available on the optimal design. The modalities of neurological monitoring need to be further investigated. The role of anticoagulation and antiplatelet treatment remains unclear.

conclusionThe results form the basis for an algorithm for the diagnosis of mild TBI in older patients. The evidence-based design of neurological monitoring and the influence of anticoagulant medication require further research.

Indexed as

AlgorithmsBrain ConcussionEmergency Service, HospitalGeriatric AssessmentAgedAged, 80 and overEmergency Room VisitsEvidence-Based MedicineFemaleHumansMaleTomography, X-Ray ComputedCranial computer tomographyDiagnostic algorithmEmergency departmentEvidence-based medicineGeriatric trauma

Identifiers

PMID42545486
PMCPMC13601116

What OpenQuestion holds

Textmetadata
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.