Evidence map›Paper›PMID 26293601›Full record

ReviewDer Radiologe2015

[Sonographic fracture diagnostics].

K Eckert, O Ackermann

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Radiologe, 2015. 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
0.2field-weighted citation impact, top 37% 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

8 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
  2. Review
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  5. Article
  6. Article
  7. Review
  8. Abuse as a Cause of Childhood Fractures.Deutsches Arzteblatt international · 2018
    Review
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

2 authors at 2 institutions in 1 country.

K EckertKlinik für Kinderchirurgie, Elisabeth-Krankenhaus Essen, Klara-Kopp-Weg 1, 45138, Essen, Deutschland. k.eckert@contilia.de.
O AckermannRuhr-Universität Bochum, Universitätsstrasse 150, 44801, Bochum, Deutschland. dr.med.ackermann@gmx.de.
Elisabeth-Krankenhaus Essen · DERuhr University Bochum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn clinically suspected fractures taking radiographs is the standard procedure but the indications should be strictly limited. Ultrasound offers a safe and radiation-free alternative for fracture diagnostics.

objectivesSensitivity and specificity of sonographic fracture diagnostics and safety of sonographic algorithms for fracture evaluation.

methodsPresentation of useful applications for sonographic fracture evaluation and establishment of sonographic algorithms for safe fracture diagnosis.

resultsIn children distal forearm fractures can be diagnosed solely by ultrasound (sensitivity 96 % and specificity 97 %). The sonographic fat pad sign (SOFA) has been proven to be a useful primary screening tool for occult fractures of the pediatric elbow. A positive fat pad sign (SOFA+) is indicative of a fracture and radiographic diagnostics are necessary (sensitivity 97 % and specificity 91 %). Ultrasonography is also useful to exclude subcapital humeral fractures (sensitivity 94 % and specificity 100 %) and for correct estimation of displacement when present.

conclusionsSonographic algorithms for fracture evaluation (SAFE) offer a safe diagnosis and guidance of the therapeutic course of certain pediatric fractures, thereby reducing unnecessary radiation exposure.

Indexed as

AlgorithmsAdipose TissueAdolescentChildChild, PreschoolEvidence-Based MedicineFemaleFractures, BoneHumansImage EnhancementImage Interpretation, Computer-AssistedInfantInfant, NewbornMaleReproducibility of ResultsSensitivity and SpecificityChildrenElbowFat pad signForearmProximal humerus

Identifiers

PMID26293601
OpenAlexW2412755921

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.