Evidence map›Paper›PMID 39555219›Full record

ArticleTechnical innovations & patient support in radiation oncology2024

A code orange for traffic-light-protocols as a communication mechanism in IGRT.

Dylan Callens, Rob De Haes, Jan Verstraete, Patrick Berkovic, An Nulens, Truus Reynders, Maarten Lambrecht, Wouter Crijns

Abstract read
In one paragraph

Article in Technical innovations & patient support in radiation oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Dylan CallensLaboratory of Experimental Radiotherapy, Catholic University of Leuven, Leuven, Belgium.
Rob De HaesDepartment of Radiation Oncology, University Hospitals of Leuven, Leuven, Belgium.
Jan VerstraeteDepartment of Radiation Oncology, University Hospitals of Leuven, Leuven, Belgium.
Patrick BerkovicLaboratory of Experimental Radiotherapy, Catholic University of Leuven, Leuven, Belgium.
An NulensDepartment of Radiation Oncology, University Hospitals of Leuven, Leuven, Belgium.
Truus ReyndersDepartment of Radiation Oncology, University Hospitals of Leuven, Leuven, Belgium.
Maarten LambrechtLaboratory of Experimental Radiotherapy, Catholic University of Leuven, Leuven, Belgium.
Wouter CrijnsLaboratory of Experimental Radiotherapy, Catholic University of Leuven, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Traffic-light protocols (TLPs) use color codes to standardize image registration and improve interdisciplinary communication in IGRT. Generally, green indicates no relevant anatomical changes, orange signals changes requiring follow-up but does not compromise the current fraction, and red flags unacceptable changes. This study examines the communication aspect, specifically the reporting accuracy for locally advanced non-small-cell lung cancer (LA-NSCLC), and identifies barriers to reporting. Materials & Methods: We conducted a retrospective study on 1997 CBCTs from 74 LA-NSCLC patients. Each scan was in retrospect assessed blinded using the tailored TLP by an IGRT-RTT and subsequently by a second RTT for a subset of fractions. The assessment included both CBCTs from current clinical practice (TLP Results: During TLP Conclusion: While our TLP has successfully promoted the widespread adoption of CBCT-based RTT-led IGRT, it has not succeeded in establishing interdisciplinary communication. Our study reveals significant underreporting of flagged LA-NSCLC fractions in clinical practice using a TLP. This underreporting stems from multifactorial origins.

Indexed as

LungRTT-led IGRTTLP

Identifiers

PMID39555219
PMCPMC11566887

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.