Evidence map›Paper›PMID 16234986›Full record

ArticleJournal of neuro-oncology2006

Role of MIB1 in predicting survival in patients with glioblastomas.

Shaye I Moskowitz, Tao Jin, Richard A Prayson

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neuro-oncology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 31% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
  4. Association ofCancers · 2023
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  7. Observational
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  9. Review
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  16. Article
  17. Ki-67/MIB-1 immunostaining in a cohort of human gliomas.International journal of clinical and experimental pathology · 2014
    Article
  18. Aggressive Low-Grade Optic Nerve Glioma in Adults.Neuro-ophthalmology (Aeolus Press) · 2014
    Article
  19. Article
  20. 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

3 authors at 1 institution in 1 country.

Shaye I MoskowitzDepartment of Neurosurgery, The Cleveland Clinic Foundation, Cleveland, OH 44195, USA.
Tao Jin
Richard A Prayson
Cleveland Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHistologic immunomarkers of cell cycle proteins have been utilized for prognosis in high-grade astrocytic tumors. One such marker, MIB1, an antibody immunoreactive throughout the cell cycle, is predictive of more aggressive disease and poorer prognosis in astrocytomas. An independent role of MIB1 analysis for survival prediction and clinical management within histologic grades has not been clearly proven.

methodsThis study retrospectively evaluated MIB1 reactivity in tissue samples from 116 patients with glioblastomas on initial medical presentation. Clinical variables considered included gender, age, Karnofsky Performance Scores (KPS), extent of surgical resection, adjuvant radiation and survival.

resultsUnivariate and multivariate analyses were used to correlate these variables with MIB1 staining. MIB1 staining does not predict overall survival or response to adjuvant therapy as an independent risk factor.

conclusionMIB1 labeling does not predict patient survival as an independent variable and does not predict response to additional therapies. Patient survival with glioblastoma was predicted by KPS, age, extent of resection and use of adjuvant radiotherapy.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorBrain NeoplasmsCombined Modality TherapyFemaleGlioblastomaHumansImmunohistochemistryKarnofsky Performance StatusKi-67 AntigenMaleMiddle AgedPredictive Value of TestsRetrospective StudiesBiomarkers, TumorKi-67 Antigen

Identifiers

PMID16234986
OpenAlexW2010575597

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.