Evidence map›Paper›PMID 36047613›Full record

ArticleHead & neck2022

Intensity-modulated radiotherapy with planned Gamma Knife radiosurgery boost for head and neck cancer with extensive disease in proximity to critical structures.

Joshua C Farris, Cole R Steber, Paul J Black, Michael D Chan, James D Ververs, Christina K Cramer, James D Browne, Joshua D Waltonen, Christopher A Sullivan, Hafiz S Patwa and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Head & neck, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. 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

17 authors at 1 institution in 1 country.

Joshua C FarrisDepartment of Radiation Oncology, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.ORCID 0000-0002-6797-5529
Cole R SteberDepartment of Radiation Oncology, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
Paul J BlackDepartment of Radiation Oncology, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
Michael D ChanDepartment of Radiation Oncology, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
James D VerversDepartment of Radiation Oncology, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
Christina K CramerDepartment of Radiation Oncology, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
James D BrowneDepartment Otolaryngology, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
Joshua D WaltonenDepartment Otolaryngology, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
Christopher A SullivanDepartment Otolaryngology, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
Hafiz S PatwaDepartment Otolaryngology, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
Adrian W LaxtonDepartment of Neurosurgery, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
Stephen B TatterDepartment of Neurosurgery, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
Bart A FrizzellDepartment of Radiation Oncology, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
Mercedes PorosnicuDepartment of Radiation Oncology, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
Thomas W LycanDepartment of Radiation Oncology, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
Kathryn M GrevenDepartment of Radiation Oncology, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
Ryan T HughesDepartment of Radiation Oncology, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.ORCID 0000-0003-1548-9753
Wake Forest University · US

Funding

Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
National Center for Advancing Translational Sciences (NCATS), National Institutes of Health UL1TR001420NCATS NIH HHS UL1 TR001420
6 · The paper itself

Abstract

backgroundTo describe intensity-modulated radiotherapy (IMRT) with Gamma Knife Radiosurgery (GKRS) boost for locally advanced head and neck cancer (HNC) with disease near dose-limiting structures.

methodsPatients with HNC treated with IMRT/GKRS as part of a combined modality approach between 2011 and 2021 were reviewed. Local control, overall survival and disease-specific survival were estimated using the Kaplan Meier method.

resultsTwenty patients were included. Nineteen patients had T3-4 tumors. Median follow-up was 26.3 months. GKRS site control was 95%. Two patients progressed at the treated primary site, one patient failed at the edge of the GKRS treatment volume, with no perineural or intracranial failure. 2-year OS was 94.7% (95% CI: 85.2%-100%). Concurrent chemotherapy was given in nine patients (45%). One patient (5%) received induction/concurrent chemotherapy. Brain radionecrosis occurred in three patients, one of which was biopsy-proven.

conclusionsIMRT plus GKRS boost results in excellent disease control near critical structures with minimal toxicity.

Indexed as

Head and Neck NeoplasmsRadiosurgeryRadiotherapy, Intensity-ModulatedHumansRetrospective StudiesTreatment OutcomeGamma KnifeGamma Knife boosthead and neck cancerintensity-modulated radiation therapynormal tissue toxicity

Identifiers

PMID36047613
PMCPMC9813854
OpenAlexW4294031549

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.