Evidence map›Paper›PMID 31462719›Full record

ArticleScientific reports2019

Delta-radiomics features during radiotherapy improve the prediction of late xerostomia.

Lisanne V van Dijk, Johannes A Langendijk, Tian-Tian Zhai, Thea A Vedelaar, Walter Noordzij, Roel J H M Steenbakkers, Nanna M Sijtsema

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 4 pooled it
–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

40 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Delta radiomics: a systematic review.La Radiologia medica · 2021
    Pooled it
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  14. Artificial Intelligence in Head and Neck Surgery.Otolaryngologic clinics of North America · 2024
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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

7 authors.

Lisanne V van DijkDepartment of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. l.v.van.dijk@umcg.nl.
Johannes A LangendijkDepartment of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Tian-Tian ZhaiDepartment of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Thea A VedelaarDepartment of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Walter NoordzijNuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Roel J H M SteenbakkersDepartment of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Nanna M SijtsemaDepartment of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The response of the major salivary glands, the parotid glands, to radiation dose is patient-specific. This study was designed to investigate whether parotid gland changes seen in weekly CT during treatment, quantified by delta-radiomics features (Δfeatures), could improve the prediction of moderate-to-severe xerostomia at 12 months after radiotherapy (Xer

Indexed as

Head and Neck NeoplasmsTomography, X-Ray ComputedXerostomiaAdolescentAdultAgedFemaleHumansMaleMiddle AgedParotid GlandPredictive Value of TestsRadiation InjuriesRadiotherapy Dosage

Identifiers

PMID31462719
PMCPMC6713775

What OpenQuestion holds

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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.