Evidence map›Paper›PMID 29774397›Full record

SynthesisStrahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]2018

Inclusion of dosimetric data as covariates in toxicity-related radiogenomic studies : A systematic review.

Noorazrul Yahya, Xin-Jane Chua, Hanani A Manan, Fuad Ismail

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al], 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 4 pooled it
3.1field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 4 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Neurocognitive impairment following proton therapy for paediatric brain tumour: a systematic review of post-therapy assessments.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Pooled it
  4. Pooled it
  5. Review
  6. Review
  7. 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

4 authors at 2 institutions in 1 country.

Noorazrul YahyaFaculty of Health Sciences, The National University of Malaysia, Jalan Raja Muda Aziz, 50300, Kuala Lumpur, Malaysia. azrulyahya@ukm.edu.my.ORCID http://orcid.org/0000-0002-2736-6489
Xin-Jane ChuaFaculty of Health Sciences, The National University of Malaysia, Jalan Raja Muda Aziz, 50300, Kuala Lumpur, Malaysia.
Hanani A MananRadiology Department, The National University of Malaysia, Kuala Lumpur, Malaysia.
Fuad IsmailRadiotherapy & Oncology Department, The National University of Malaysia, Kuala Lumpur, Malaysia.
National University of Malaysia · MYMinistry of Health · MY

Funding

Universiti Kebangsaan Malaysia GGPM-2017-095
6 · The paper itself

Abstract

purposeThis systematic review evaluates the completeness of dosimetric features and their inclusion as covariates in genetic-toxicity association studies. MATERIALS AND

methodsOriginal research studies associating genetic features and normal tissue complications following radiotherapy were identified from PubMed. The use of dosimetric data was determined by mining the statement of prescription dose, dose fractionation, target volume selection or arrangement and dose distribution. The consideration of the dosimetric data as covariates was based on the statement mentioned in the statistical analysis section. The significance of these covariates was extracted from the results section. Descriptive analyses were performed to determine their completeness and inclusion as covariates.

resultsA total of 174 studies were found to satisfy the inclusion criteria. Studies published ≥2010 showed increased use of dose distribution information (p = 0.07). 33% of studies did not include any dose features in the analysis of gene-toxicity associations. Only 29% included dose distribution features as covariates and reported the results. 59% of studies which included dose distribution features found significant associations to toxicity.

conclusionA large proportion of studies on the correlation of genetic markers with radiotherapy-related side effects considered no dosimetric parameters. Significance of dose distribution features was found in more than half of the studies including these features, emphasizing their importance. Completeness of radiation-specific clinical data may have increased in recent years which may improve gene-toxicity association studies.

Indexed as

Dose-Response Relationship, RadiationData CollectionGenetic MarkersGenetic TestingHumansRadiation GeneticsRadiation InjuriesRadiometryRadiotherapyStatistics as TopicGenetic MarkersDose-response relationship, radiationGenetic association studiesGenetic testingRadiation effectsRadiotherapy

Identifiers

PMID29774397
OpenAlexW2804510044

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.