Evidence map›Paper›PMID 31016339›Full record

ArticleSkeletal radiology2019

S E Bosma, D Vriens, H Gelderblom, M A J van de Sande, P D S Dijkstra, J L Bloem

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Skeletal radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Guideline
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  3. Article
  4. Applications of Artificial Intelligence for Pediatric Cancer Imaging.AJR. American journal of roentgenology · 2024
    Review
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  7. Article
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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 1 institution in 1 country.

S E BosmaDepartment of Orthopedics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands. s.e.bosma@lumc.nl.ORCID http://orcid.org/0000-0001-8070-3483
D VriensDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
H GelderblomDepartment of Medical Oncology, Leiden University Medical Center, Leiden, The Netherlands.
M A J van de SandeDepartment of Orthopedics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
P D S DijkstraDepartment of Orthopedics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
J L BloemDepartment of Medical Oncology, Leiden University Medical Center, Leiden, The Netherlands.
Leiden University Medical Center · NL

Funding

Team westland foundation Not applicable
6 · The paper itself

Abstract

objectiveTo determine the level of discrepancy between magnetic resonance imaging (MRI) and

methodsTwenty patients with histopathologically confirmed Ewing sarcoma between 2000 and 2017 who underwent

resultsA total of 112 osseous lesions were diagnosed in 13 patients, 107 malignant and 5 benign. Seven patients showed no metastases on either

conclusionAlthough no definite conclusions can be drawn from this small retrospective study, it shows that caution is needed when using

Indexed as

Fluorodeoxyglucose F18RadiopharmaceuticalsAdolescentAdultBone NeoplasmsChildChild, PreschoolFemaleHumansMagnetic Resonance ImagingMaleNeoplasms, Second PrimaryPositron Emission Tomography Computed TomographyReproducibility of ResultsRetrospective StudiesSarcoma, EwingFluorodeoxyglucose F18RadiopharmaceuticalsDiagnosisEwing sarcomaMagnetic resonance imagingOsseous metastasisPositron emission tomography with computerized tomography

Identifiers

PMID31016339
PMCPMC6776481
OpenAlexW2940989087

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.