Evidence map›Paper›PMID 30782931›Full record

ArticleBMJ open2019

Specific growth rates calculated from CTs in patients with head and neck squamous cell carcinoma: a retrospective study performed in Austria.

Daniel Dejaco, Teresa Steinbichler, Volker Hans Schartinger, Natalie Fischer, Maria Anegg, Joszef Dudas, Andrea Posch, Gerlig Widmann, Herbert Riechelmann

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

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  11. Fewer head and neck cancer diagnoses and faster treatment initiation during COVID-19 in 2020: A nationwide population-based analysis.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2022
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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

9 authors at 1 institution in 1 country.

Daniel DejacoDepartment of Otorhinolaryngology-Head and Neck Surgery, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0001-9176-7415
Teresa SteinbichlerDepartment of Otorhinolaryngology-Head and Neck Surgery, Medical University of Innsbruck, Innsbruck, Austria.
Volker Hans SchartingerDepartment of Otorhinolaryngology-Head and Neck Surgery, Medical University of Innsbruck, Innsbruck, Austria.
Natalie FischerDepartment of Otorhinolaryngology-Head and Neck Surgery, Medical University of Innsbruck, Innsbruck, Austria.
Maria AneggDepartment of Otorhinolaryngology-Head and Neck Surgery, Medical University of Innsbruck, Innsbruck, Austria.
Joszef DudasDepartment of Otorhinolaryngology-Head and Neck Surgery, Medical University of Innsbruck, Innsbruck, Austria.
Andrea PoschDepartment of Radiation Oncology, Medical University of Innsbruck, Innsbruck, Austria.
Gerlig WidmannMedical University of Innsbruck, Department of Radiology, Innsbruck, Austria.
Herbert RiechelmannDepartment of Otorhinolaryngology-Head and Neck Surgery, Medical University of Innsbruck, Innsbruck, Austria.
Innsbruck Medical University · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo provide data on specific growth rates (SGRs) of primary tumours (PT-SGR) and largest pathological cervical lymph nodes (LN-SGR) for head and neck squamous cell carcinoma (HNSCC). To explore PT-SGR's and LN-SGR's correlation with selected biomarkers epidermal growth factor receptor (EGFR), Ki67 and CD44. DESIGN AND

settingRetrospective study performed at a tertiary oncological referral centre in Innsbruck, Austria.

participantsAdult patients with incident HNSCC treated with primary radiotherapy (RT) or radiochemotherapy (RCT). OUTCOME MEASURES: Volumes of the primary tumour (PT-volume) and largest pathological cervical lymph node (LN-volume) were measured in CT scans obtained at time of diagnosis and subsequent planning CTs immediately prior to RT or RCT. SGRs were calculated assuming an exponential growth function. PT-SGR's and LN-SGR's correlation with EGFR, Ki67 and CD44 were explored.

resultsIn 123 patients, mean interval between diagnostic and planning CT was 29±21 days. PT-SGR was 1.8±1.8% (mean±SD) per day and was positively correlated with EGFR, Ki67 and CD44 expression (p=0.02; p=0.02; p=0.03). LN-SGR was 1.7±2.0% per day and increased with larger initial LN-volume, was lower in laryngeal cancer (p=0.003) and slowed down with time. LN-SGR was not correlated with EGFR, Ki67 or CD44 expression in primary tumours (p>0.12). New cartilage or bone infiltration occurred in 10 patients and new central lymph node necrosis in 8 patients.

conclusionsHNSCCs are fast-growing tumours for which treatment must not be delayed. Clinical tumour growth rates are influences by EGFR, KI67 and CD44 expression.

Indexed as

Tomography, X-Ray ComputedTumor BurdenAdultAgedAged, 80 and overAustriaBiomarkers, TumorChemoradiotherapyErbB ReceptorsFemaleHead and Neck NeoplasmsHumansHyaluronan ReceptorsKi-67 AntigenLymphatic MetastasisLymph NodesBiomarkers, TumorCD44 protein, humanEGFR protein, humanErbB ReceptorsHyaluronan ReceptorsKi-67 AntigenMKI67 protein, humanCd44Egfrhead and neck squamous cell carcinomaKi67tumour growth ratetumour volume

Identifiers

PMID30782931
PMCPMC6367981
OpenAlexW2914316369

What OpenQuestion holds

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LicenceCC BY-NC
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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.