Evidence map›Paper›PMID 31553771›Full record

Observational studyPloS one2019

Survival of infants ≤24 months of age with brain tumors: A population-based study using the SEER database.

Claire Faltermeier, Timothy Chai, Sharjeel Syed, Nathan Lau, Lior Elkaim, George Ibrahim, Anthony Wang, Alexander Weil, Anne Bendel, Aria Fallah and 1 more

Erratum issuedOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Intracranial Tumors in the First Year of Life.Advances and technical standards in neurosurgery · 2023
    Article
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 8 institutions in 2 countries.

Claire FaltermeierDepartment of Neurosurgery, University of California, San Francisco, CA, United States of America.
Timothy ChaiDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, United States of America.
Sharjeel SyedDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, United States of America.
Nathan LauFred Hutchinson Cancer Research Center, Seattle, WA, United States of America.
Lior ElkaimDivision of Neurosurgery, CHU Sainte-Justine Hospital, Université de Montréal, QC, Canada.
George IbrahimDivision of Neurosurgery, Department of Surgery, Hospital for Sick Children, University of Toronto, ON, Canada.
Anthony WangDepartment of Neurosurgery, Mattel Children's Hospital, University of California, Los Angeles, CA, United States of America.
Alexander WeilDivision of Neurosurgery, CHU Sainte-Justine Hospital, Université de Montréal, QC, Canada.
Anne BendelDepartment of Hematology-Oncology, Children's Minnesota, Minneapolis, MN, United States of America.
Aria FallahDepartment of Neurosurgery, Mattel Children's Hospital, University of California, Los Angeles, CA, United States of America.
Albert TuDivision of Neurosurgery, Children's Hospital of Eastern Ontario, ON, Canada.ORCID 0000-0002-8238-9202
Centre Hospitalier Universitaire Sainte-Justine · CAStanford University · USUniversity of California, Los Angeles · USChildren's Hospital of Eastern Ontario · CAChildren's Minnesota · USFred Hutch Cancer Center · USUniversity of California, San Francisco · USUniversity of Toronto · CA

Funding

UCLA SPORE in Brain CancerP50CA211015 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI David A. Nathanson · 2017 to 2026
$25.2M
NCI NIH HHS P50 CA211015
6 · The paper itself

Abstract

introductionBrain tumors are the most common solid malignancy and leading cause of cancer-related deaths in infants. Current epidemiological data is limited by low numbers of reported cases. This study used a population-based approach with analysis of contemporary and historical survival curves to provide up-to-date prognostication.

methodsObservational cohort analysis was performed using the Surveillance, Epidemiology and End Results (SEER) database. Infants with brain tumors diagnosed from 1973 to 2013 were categorized by the most common tumor types (diffuse astrocytic and oligodendroglioma, choroid plexus, embryonal, ependymal, medulloblastoma and pilocytic astrocytoma). The 1, 5 and 10 year survival was stratified by decade, with trends in management and outcomes analyzed.

resultsWe identified 2996 affected infants satisfying inclusion criteria. All tumor types, except embryonal and choroid plexus, demonstrated improving survival with time. Infants with embryonal tumors showed a decline in survival from the 1970s to 1990s (p = 0.009), whereas infants with choroid plexus tumors had no change in survival. Infants with ependymal tumors experienced the greatest improvement in survival from 1980s to 1990s and 1990s to 2000s (p = 0.0001, p = 0.01), with 5-year survival probability improving from 28% (95% CI 15-42%) in the 1980s to 77% (95% CI 69-83%) the 2000s. The use of radiation declined from 1970 to 2000 for all tumors; however, radiation treatment for embryonal and ependymal subtypes increased after 2000.

conclusionsWhile overall survival for infants with brain tumors has improved from the 1970s onwards, not every tumor type has seen a statistically significant change. Given changes in management and survival, prognostication of infants with brain tumor should be updated.

Indexed as

Brain NeoplasmsChild, PreschoolCohort StudiesFemaleHumansInfantInfant MortalityInfant, NewbornMalePrognosisSEER ProgramSurvival AnalysisTime FactorsUnited States

Identifiers

PMID31553771
PMCPMC6760899
OpenAlexW2976742731

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.