Evidence map›Paper›PMID 35252051›Full record

ReviewAutopsy & case reports2022

Jaw osteosarcoma and pregnancy: a rare coexistence.

Thaís Aguiar Santos, Márcia Gimenes Américo, Antonio Vitor Martins Priante, Maria Fernanda de Oliveira, Ana Lia Anbinder

Open access · diamondAbstract readReview
In one paragraph

Review in Autopsy & case reports, 2022. 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
0.5field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  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

5 authors at 3 institutions in 1 country.

Thaís Aguiar SantosUniversidade Estadual Paulista (UNESP), Institute of Science and Technology, Department of Biosciences and Oral Diagnosis, São José dos Campos, SP, Brasil.ORCID 0000-0002-5762-1145
Márcia Gimenes AméricoPrefeitura de Taubaté, Oral Health Division, Taubaté, SP, Brasil.ORCID 0000-0003-1188-7172
Antonio Vitor Martins PrianteHospital Regional do Vale do Paraiba, Taubaté, SP, Brasil.ORCID 0000-0002-2666-2120
Maria Fernanda de OliveiraHospital Regional do Vale do Paraiba, Taubaté, SP, Brasil.ORCID 0000-0003-2965-6399
Ana Lia AnbinderUniversidade Estadual Paulista (UNESP), Institute of Science and Technology, Department of Biosciences and Oral Diagnosis, São José dos Campos, SP, Brasil.ORCID 0000-0003-3930-4274
Universidade de Taubaté · BRUniversidade Estadual Paulista (Unesp) · BRUniversidade do Vale do Paraíba · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma of the jaw represents less than 1% of all head and neck malignancies. This malignancy in pregnant women occurs in one per 1000 deliveries. We report a case of a 29-year-old woman, in the 33rd week of gestation, who presented with an expansive tumor destroying the maxillary alveolar bone, histologically composed of pleomorphic, round, spindle, or epithelioid cells and osteoid/chondroid matrix. Upon final diagnosis of osteosarcoma, the lesion was excised. To the best of our knowledge, only 10 cases of jaw osteosarcoma in pregnant women have been reported to date in the English language literature. The use of ancillary examinations, malignancy diagnosis, and cancer treatment can be challenging during pregnancy. Knowledge about jaw osteosarcoma in pregnancy can increase healthcare providers' awareness, avoid delays and misdiagnosis and potentially improve maternal and neonatal outcomes.

Indexed as

Bone NeoplasmsOsteosarcomaPregnancy

Identifiers

PMID35252051
PMCPMC8890621
OpenAlexW4214813113

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.