Evidence map›Paper›PMID 37720393›Full record

ArticleNeuro-oncology practice2023

The effects of educational interventions and the COVID-19 pandemic on the time to diagnosis in pediatric patients with primary central nervous system tumors.

Tyler Canova, Neil McNinch, Alexis Judd, Sarah Rush, Erin Wright

Abstract read
In one paragraph

Article in Neuro-oncology practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Tyler CanovaDepartment of Hematology and Oncology, Akron Children's Hospital, USA.ORCID https://orcid.org/0000-0001-8546-7918
Neil McNinchDepartment of Hematology and Oncology, Akron Children's Hospital, USA.
Alexis JuddDepartment of Hematology and Oncology, Akron Children's Hospital, USA.
Sarah RushDepartment of Hematology and Oncology, Akron Children's Hospital, USA.ORCID https://orcid.org/0000-0002-3416-7031
Erin WrightDepartment of Hematology and Oncology, Akron Children's Hospital, USA.ORCID https://orcid.org/0000-0001-5044-058X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Primary central nervous system tumors are a leading cause of death and disability amongst pediatric cancer patients. Akron Children's Hospital published data in 2018 on response time for brain tumor diagnosis and implemented components of an established program to decrease diagnostic delays and thereby reduce tumor- and treatment-related morbidities. This study evaluates if there was an improvement in the total diagnostic interval (TDI, time from symptom onset to diagnosis) after provider education. During the study, the COVID-19 pandemic forced alterations in care delivery. The impact this had on the TDI was also assessed. Methods: A retrospective chart review was performed, and patients were separated into 2008-2017 (historical) and 2018-2021 (posteducation) groups to assess the effect of educational interventions on TDI. The posteducation cohort was analyzed separately to assess the impact of COVID-19 pandemic. Results: The 85 patients studied in the post-education group showed a median TDI of 31 days. Though not statistically significant ( Conclusion: The nonsignificant decrease in TDI and concurrent increase in HCP visits after implementation of education suggests a potential gap amongst providers in working-up primary CNS tumors. These results will influence expansion of education to further improve TDI.

Indexed as

braindelayeddiagnosispediatrictumor

Identifiers

PMID37720393
PMCPMC10502781

What OpenQuestion holds

Textmetadata
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.