Evidence map›Paper›PMID 38975333›Full record

ArticleJournal of bone oncology2024

From bimodal to unimodal: The transformed incidence of osteosarcoma in the United States.

Emma Kar, Amrit Ammanamanchi, Miranda Yousif, Saroja Devi Geetha, Kendall Schwartz, Arya Suman Mishra, Jiali Ling, Kristie Nneoma Nonyelu, Bijun Sai Kannadath

Abstract read
In one paragraph

Article in Journal of bone oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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. Article
  2. Article
  3. Review
  4. Review
  5. Review
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.

Emma KarThe University of Arizona College of Medicine - Phoenix, Phoenix, AZ, United States.
Amrit AmmanamanchiThe University of Arizona College of Medicine - Phoenix, Phoenix, AZ, United States.
Miranda YousifThe University of Arizona College of Medicine - Phoenix, Phoenix, AZ, United States.
Saroja Devi GeethaNorthwell Health - Long Island Jewish Medical Centre and North Shore University Hospital, Queens, NY, United States.
Kendall SchwartzThe University of Arizona College of Medicine - Phoenix, Phoenix, AZ, United States.
Arya Suman MishraRoyal Derby Hospital - Department of Trauma and Orthopaedics, Derby, England.
Jiali LingThe University of Arizona College of Medicine - Phoenix, Phoenix, AZ, United States.
Kristie Nneoma NonyeluThe University of Arizona College of Medicine - Phoenix, Phoenix, AZ, United States.
Bijun Sai KannadathThe University of Arizona College of Medicine - Phoenix, Phoenix, AZ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Osteosarcoma is the most common primary bone malignancy. It has classically been described as having a bimodal incidence by age. We sought to identify whether the bimodal incidence distribution still exists for osteosarcoma using the SEER and NIS databases. Methods: Incidence rates of primary osteosarcoma between 2000-2021 were analyzed by age at diagnosis, year of occurrence, sex, and tumor site from the SEER Research Data, 17 Registries, Nov 2023 Sub (2000-2021). The incidence of cases in 35-64 year-olds and 65 and above was compared statistically to determine if there is an increased incidence in the later ages. Incidence of tumors of the long bones of the lower limbs from the NIS discharge database 2012-2019 was also analyzed for comparison. Results: Overall, 5,129 cases of osteosarcoma were reported in the SEER database. Across the 22 calendar year span, a consistent first peak appeared in the second decade of life. There was no consistent second peak in the 35+ age group. There were 86,100 discharges with long bone tumors analyzed in the NIS data which exhibited nearly identical patterns. Conclusions: Our analysis shows that the incidence of osteosarcoma is no longer bimodally distributed but rather unimodally distributed.

Indexed as

EpidemiologyIncidenceNISOsteosarcomaSEER

Identifiers

PMID38975333
PMCPMC11225682

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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.