Evidence map›Paper›PMID 34606021›Full record

ArticleNeurosurgical review2022

Solid tumor size for prediction of recurrence in large and giant non-functioning pituitary adenomas.

Ching-Chung Ko, Chin-Hong Chang, Tai-Yuan Chen, Sher-Wei Lim, Te-Chang Wu, Jeon-Hor Chen, Yu-Ting Kuo

Erratum issuedAbstract read
In one paragraph

Article in Neurosurgical review, 2022. 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Ching-Chung KoDepartment of Medical Imaging, Chi-Mei Medical Center, Tainan, Taiwan. kocc0729@gmail.com.ORCID http://orcid.org/0000-0003-0721-9606
Chin-Hong ChangDepartment of Neurosurgery, Chi Mei Medical Center, Tainan, Taiwan.
Tai-Yuan ChenDepartment of Medical Imaging, Chi-Mei Medical Center, Tainan, Taiwan.
Sher-Wei LimDepartment of Neurosurgery, Chi-Mei Medical Center, Chiali, Tainan, Taiwan.
Te-Chang WuDepartment of Medical Imaging, Chi-Mei Medical Center, Tainan, Taiwan.
Jeon-Hor ChenDepartment of Radiological Sciences, University of California, Irvine, CA, USA.
Yu-Ting KuoDepartment of Medical Imaging, Chi-Mei Medical Center, Tainan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A subset of large non-functioning pituitary adenomas (lNFPA) and giant non-functioning pituitary adenomas (gNFPA) undergoes early progression/recurrence (P/R) after surgery. This study revealed the clinical and image predictors of P/R in lNFPA and gNFPA, with emphasis on solid tumor size. This retrospective study investigated the preoperative MR imaging features for the prediction of P/R in lNFPA (> 3 cm) and gNFPA (> 4 cm). Only the patients with a complete preoperative brain MRI and undergone postoperative MRI follow-ups for more than 1 year were included. From November 2010 to December 2020, a total of 34 patients diagnosed with lNFPA and gNFPA were included (median follow-up time 47.6 months) in this study. A total of twenty-three (23/34, 67.6%) patients had P/R, and the median time to P/R is 25.2 months. Solid tumor diameter (STD), solid tumor volume (STV), and extent of resection are associated with P/R (p < 0.05). Multivariate analysis showed large STV is a risk factor for P/R (p < 0.05) with a hazard ratio of 30.79. The cutoff points of STD and STV for prediction of P/R are 26 mm and 7.6 cm

Indexed as

AdenomaPituitary NeoplasmsFollow-Up StudiesHumansMagnetic Resonance ImagingNeoplasm Recurrence, LocalNeurosurgical ProceduresRetrospective StudiesTreatment OutcomeMRINon-functioningPituitary macroadenomaRecurrenceSolid tumor size

Identifiers

PMID34606021
PMCPMC8976796

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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.