Evidence map›Paper›PMID 28787757›Full record

ArticleCancer science2017

Metabolic tumor volume of primary tumor predicts survival better than T classification in the larynx preservation approach.

Junji Miyabe, Atsushi Hanamoto, Mitsuaki Tatsumi, Toshimitsu Hamasaki, Yukinori Takenaka, Susumu Nakahara, Toshihiro Kishikawa, Motoyuki Suzuki, Norihiko Takemoto, Takahiro Michiba and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Utility and limitations of metabolic parameters in head and neck cancer: finding a practical segmentation method.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. CMBD: a manually curated cancer metabolic biomarker knowledge database.Database : the journal of biological databases and curation · 2021
    Article
  9. Article
  10. Article
  11. 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

16 authors at 2 institutions in 1 country.

Junji MiyabeDepartment of Otorhinolaryngology-Head and Neck Surgery, Osaka University School of Medicine, Osaka, Japan.
Atsushi HanamotoDepartment of Otorhinolaryngology-Head and Neck Surgery, Osaka University School of Medicine, Osaka, Japan.
Mitsuaki TatsumiDepartment of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, Osaka, Japan.
Toshimitsu HamasakiResearch and Development Initiative Center, National Cerebral and Cardiovascular Center, Osaka, Japan.ORCID http://orcid.org/0000-0002-4928-1160
Yukinori TakenakaDepartment of Otorhinolaryngology-Head and Neck Surgery, Osaka University School of Medicine, Osaka, Japan.
Susumu NakaharaDepartment of Otorhinolaryngology-Head and Neck Surgery, Osaka University School of Medicine, Osaka, Japan.
Toshihiro KishikawaDepartment of Otorhinolaryngology-Head and Neck Surgery, Osaka University School of Medicine, Osaka, Japan.
Motoyuki SuzukiDepartment of Otorhinolaryngology-Head and Neck Surgery, Osaka University School of Medicine, Osaka, Japan.
Norihiko TakemotoDepartment of Otorhinolaryngology-Head and Neck Surgery, Osaka University School of Medicine, Osaka, Japan.
Takahiro MichibaDepartment of Otorhinolaryngology-Head and Neck Surgery, Osaka University School of Medicine, Osaka, Japan.
Yasuo YoshiokaDepartment of Radiation Oncology, Osaka University Graduate School of Medicine, Osaka, Japan.
Fumiaki IsohashiDepartment of Radiation Oncology, Osaka University Graduate School of Medicine, Osaka, Japan.
Koji KonishiDepartment of Radiation Oncology, Osaka University Graduate School of Medicine, Osaka, Japan.
Kazuhiko OgawaDepartment of Radiation Oncology, Osaka University Graduate School of Medicine, Osaka, Japan.
Jun HatazawaDepartment of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, Osaka, Japan.
Hidenori InoharaDepartment of Otorhinolaryngology-Head and Neck Surgery, Osaka University School of Medicine, Osaka, Japan.ORCID http://orcid.org/0000-0003-4473-1203
The University of Osaka · JPNational Cerebral and Cardiovascular Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to determine whether pretreatment metabolic tumor volume of the primary tumor (T-MTV) or T classification would be a better predictor of laryngectomy-free survival (LFS) and overall survival (OS) after chemoradiotherapy in patients with locally advanced laryngeal or hypopharyngeal cancer requiring total laryngectomy. We analyzed 85 patients using a Cox proportional hazards model and evaluated its usefulness by Akaike's information criterion. A T-MTV cut-off value was determined by time-dependent receiver operating characteristic curve analysis. Interobserver reliability for measuring T-MTV was estimated by the intraclass correlation coefficient (ICC). After adjustment for covariables, T-MTV, irrespective of whether a continuous or dichotomized variable, and T classification remained independent predictors of LFS and OS. Large T-MTV (>28.7 mL) was associated with inferior LFS (hazard ratio [HR], 4.16; 95% confidence interval [CI], 1.97-8.70; P = 0.0003) and inferior OS (HR, 3.18; 95% CI, 1.47-6.69; P = 0.004) compared with small T-MTV (≤28.7 mL). The T-MTV model outperformed the T classification model in predicting LFS and OS (P = 0.007 and 0.01, respectively). Three-year LFS and OS rates for patients with small versus large T-MTV were 68% vs 9% (P < 0.0001) and 77% vs 25% (P < 0.0001), respectively, whereas those for patients with T2-T3 versus T4a were 61% vs 31% (P = 0.003) and 71% vs 48% (P = 0.10), respectively. ICC was 0.99 (95% CI, 0.99-1.00). Given the excellent interobserver reliability, T-MTV is better than T classification to identify patients who would benefit from the larynx preservation approach.

Indexed as

AdultAgedChemoradiotherapyDisease-Free SurvivalFemaleFluorodeoxyglucose F18HumansHypopharyngeal NeoplasmsLaryngeal NeoplasmsLarynxMaleMiddle AgedNeoplasm StagingObserver VariationPositron-Emission TomographyPositron Emission Tomography Computed TomographyFluorodeoxyglucose F18Hypopharyngeal cancerlaryngeal cancerlarynx preservationmetabolic tumor volumeT classification

Identifiers

PMID28787757
PMCPMC5623730
OpenAlexW2744402544

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.