Evidence map›Paper›PMID 32700074›Full record

ReviewOncology and therapy2020

Characteristics of Laryngeal Osteosarcoma: A Critical Review.

Antti A Mäkitie, Kenneth O Devaney, Bertrand Baujat, Alhadi Almangush, Alfio Ferlito

Open access · goldAbstract readReview
In one paragraph

Review in Oncology and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  3. Review
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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

5 authors at 4 institutions in 4 countries.

Antti A MäkitieDepartment of Otorhinolaryngology, Head and Neck Surgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland. antti.makitie@helsinki.fi.
Kenneth O DevaneyDepartment of Pathology, Allegiance Health, Jackson, MI, USA.
Bertrand BaujatSorbonne université, Service d'oto-rhino-laryngologie et de chirurgie cervicofaciale, DMU CHIR, Hôpital Tenon, Assistance-Publique-Hôpitaux de Paris, 4, rue de la Chine, 75020, Paris, France.
Alhadi AlmangushDepartment of Pathology, University of Helsinki, Helsinki, Finland.
Alfio FerlitoCoordinator of the International Head and Neck Scientific Group, Padua, Italy.
Helsinki University Hospital · FIHenry Ford Allegiance Health · USHôpital Tenon · FRUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Laryngeal sarcomas constitute an extremely rare entity among head and neck malignancies. Furthermore, most of them are chondrosarcomas, and the osteogenic form remains a true rarity. In general, there is a lack of information on the characteristics of laryngeal osteosarcoma. Thus, we sought to critically review the existing world literature on laryngeal osteosarcoma in order to develop a more accurate clinicopathological profile of this malignancy. Laryngeal osteosarcoma has a predilection for elderly male patients, as 87% were male in the present series and the mean age was 62 years (range 32-80), and without a direct association with tobacco exposure. Osteosarcoma of the larynx is typically a highly malignant neoplasm that metastasizes early, has a propensity for hematogenous spread and also has a marked tendency to recur. Twelve (41%) out of the 29 cases in the present review with follow-up data had metastatic disease. The aspects that distinguish osteosarcoma from its differential diagnostic alternatives are discussed in this review.

Indexed as

LarynxOsteosarcomaRadiotherapySarcomaSurgery

Identifiers

PMID32700074
PMCPMC7359981
OpenAlexW3006487140

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.