Evidence map›Paper›PMID 32157367›Full record

ArticleChild's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery2020

Time to diagnosis and clinical characteristics in pediatric brain tumor patients.

Koji Hirata, Ai Muroi, Takao Tsurubuchi, Hiroko Fukushima, Ryoko Suzuki, Yuni Yamaki, Eiichi Ishikawa, Akira Matsumura

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Article in Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 29 citations in OpenAlex.

  1. Suprasellar CNS germ cell tumors and endocrine sequelae: early growth hormone therapy as a contributor to height gain: a single institute analysis.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
    Article
  2. Article
  3. Delay in the diagnosis of pediatric central nervous system tumors: data from a single tertiary care center.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2025
    Article
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  5. Review
  6. Unlocking delays: revealing barriers to early diagnosis of childhood central nervous system tumors in an upper-middle-income country.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2024
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  14. Presenting symptoms and time to diagnosis for Pediatric Central Nervous System Tumors in Qatar: a report from Pediatric Neuro-Oncology Service in Qatar.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2021
    Article
  15. 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

8 authors at 1 institution in 1 country.

Koji HirataDepartment of Neurosurgery, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, 305-8575, Ibaraki, Japan.
Ai MuroiDepartment of Neurosurgery, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, 305-8575, Ibaraki, Japan. a.muroi@md.tsukuba.ac.jp.
Takao TsurubuchiDepartment of Neurosurgery, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, 305-8575, Ibaraki, Japan.
Hiroko FukushimaDepartment of Pediatrics, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
Ryoko SuzukiDepartment of Pediatrics, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
Yuni YamakiDepartment of Pediatrics, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
Eiichi IshikawaDepartment of Neurosurgery, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, 305-8575, Ibaraki, Japan.
Akira MatsumuraDepartment of Neurosurgery, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, 305-8575, Ibaraki, Japan.
University of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed to identify factors that affect the time to diagnosis in pediatric brain tumors and investigate the effect of time to diagnosis on clinical outcome.

methodsA retrospective study of children with brain tumors aged less than 18 years diagnosed at the University of Tsukuba Hospital over a period of 7 years was conducted.

resultsEighty-five consecutive patients, with a mean age of 9.1 years, were included in the study. The median interval from symptom onset to diagnosis was 45 days (range 0-1673); median interval from symptom onset to first presentation was 31.0 days; and median interval from first presentation to diagnosis was 13.5 days. Germinoma had the longest interval from symptom onset to first presentation, and from first presentation to diagnosis. Patients presenting with endocrine disorder had a significantly longer interval from symptom onset to first presentation (p = 0.019); those with visual disturbance (p = 0.016) or endocrine disorder (p = 0.030) had significantly longer intervals from first presentation to diagnosis.

conclusionPediatric brain tumor patients with germinoma and presenting symptoms of endocrine disorder or visual disturbance have a longer time to diagnosis. Although improved prognosis is not clearly related to a shorter time to diagnosis, we believe that early diagnosis can lead to improved treatment and better quality of life. A detailed medical history and neuroimaging studies at the earliest time possible are important for early diagnosis.

Indexed as

Brain NeoplasmsQuality of LifeChildEarly DiagnosisHumansRetrospective StudiesTime FactorsHydrocephalusPediatricsPre-diagnostic symptom intervals

Identifiers

PMID32157367
OpenAlexW3012173093

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Registered trials

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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.