Evidence map›Paper›PMID 36970177›Full record

ReviewNeuro-oncology practice2023

Incidental diffuse low-grade gliomas: A systematic review and meta-analysis of treatment results with correction of lead-time and length-time biases.

Satoshi Nakasu, Yoko Nakasu, Atsushi Tsuji, Tadateru Fukami, Naoki Nitta, Hiroto Kawano, Akifumi Notsu, Kazuhiko Nozaki

Open access · bronzeAbstract readReview
In one paragraph

Review 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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 2 institutions in 1 country.

Satoshi NakasuDivision of Neurosurgery, Omi Medical Center, Kusatsu, Japan.ORCID https://orcid.org/0000-0001-8719-9806
Yoko NakasuDepartment of Neurosurgery, Shiga University of Medical Science, Ohtsu, Japan.
Atsushi TsujiDepartment of Neurosurgery, Shiga University of Medical Science, Ohtsu, Japan.
Tadateru FukamiDepartment of Neurosurgery, Shiga University of Medical Science, Ohtsu, Japan.
Naoki NittaDepartment of Neurosurgery, Shiga University of Medical Science, Ohtsu, Japan.
Hiroto KawanoDepartment of Neurosurgery, Shiga University of Medical Science, Ohtsu, Japan.
Akifumi NotsuClinical Research Center, Shizuoka Cancer Center, Nagaizumi, Japan.
Kazuhiko NozakiDepartment of Neurosurgery, Shiga University of Medical Science, Ohtsu, Japan.
Shiga University of Medical Science · JPShizuoka Cancer Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Better overall survival (OS) reported in patients with incidental diffuse low-grade glioma (iLGG) in comparison to symptomatic LGG (sLGG) may be overestimated by lead-time and length-time. Methods: We performed a systematic review and meta-analysis of studies on adult hemispheric iLGGs according to the PRISMA statement to adjust for biases in their outcomes. Survival data were extracted from Kaplan-Meier curves. Lead-time was estimated by 2 methods: Pooled data of time to become symptomatic (LTs) and time calculated from the tumor growth model (LTg). Results: We selected articles from PubMed, Ovid Medline, and Scopus since 2000. Five compared OS between patients with iLGG ( Conclusions: The reported outcome in iLGG was biased by lead-time and length-time. Although iLGG had a longer OS after correction of biases, the difference was less than previously reported.

Indexed as

incidentallead-time biaslength-time biaslow-grade gliomameta-analysis

Identifiers

PMID36970177
PMCPMC10037942
OpenAlexW4296483248

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.