Evidence map›Paper›PMID 37555964›Full record

ArticleNeurosurgical review2023

Decision-making tree for surgical treatment in meningioma: a geriatric cohort study.

Haoyi Li, Dao Zheng, Yonggang Wang, Yuzhe Ying, Dali Sui, Song Lin, Zhongli Jiang, Huawei Huang, Guobin Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Neurosurgical review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. MRI features and tumor-infiltrating CD8 + T cells-based nomogram for predicting meningioma recurrence risk.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    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

9 authors at 2 institutions in 1 country.

Haoyi LiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, South 4th Ring West Road 119, Fengtai District, Beijing, 100070, People's Republic of China.
Dao ZhengDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, South 4th Ring West Road 119, Fengtai District, Beijing, 100070, People's Republic of China.
Yonggang WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, South 4th Ring West Road 119, Fengtai District, Beijing, 100070, People's Republic of China.
Yuzhe YingDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, South 4th Ring West Road 119, Fengtai District, Beijing, 100070, People's Republic of China.
Dali SuiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, South 4th Ring West Road 119, Fengtai District, Beijing, 100070, People's Republic of China.
Song LinDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, South 4th Ring West Road 119, Fengtai District, Beijing, 100070, People's Republic of China.
Zhongli JiangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, South 4th Ring West Road 119, Fengtai District, Beijing, 100070, People's Republic of China.
Huawei HuangDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, South 4th Ring West Road 119, Fengtai District, Beijing, 100070, People's Republic of China. huanghw0403@163.com.
Guobin ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, South 4th Ring West Road 119, Fengtai District, Beijing, 100070, People's Republic of China. guobin_0912@sina.com.
Beijing Tian Tan Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Controversies persist regarding the benefits of surgery in elderly patients with meningiomas. The objective of this study was to develop decision-making scale to clarify the necessity for surgical intervention and provide clinical consultation for this special population. This retrospective cohort study was conducted at a single center and included 478 elderly patients (≥ 65 years) who underwent meningioma resection. Follow-up was recorded to determine recurrence and mortality rates. Univariate and multivariate analyses were performed to identify significantly preoperative factors, and prognostic prediction models were developed with determined cutoff values for the prognostic index (PI). Model discrimination was evaluated using Kaplan-Meier curves based on the PI stratification, which categorized patients into low- and high-risk groups. A decision-making tree was then established based on the risk stratification from both models. Among all patients analyzed (n = 478), 62 (13.0%) experience recurrence and 47 (10.0%) died during the follow-up period. Significantly preoperative parameters from both models included advanced age, aCCI, recurrent tumor, motor cortex involvement, male sex, peritumoral edema, and tumor located in skull base (all P < 0.05). According to the classification of PI from the two models, the decision-making tree provided four recommendations that can be used for clinical consultation. Surgery is not recommended for patients assigned to the high-risk group in both models. Patients who meet the low-risk criteria in any model may undergo surgical intervention, but the final decision should depend on the surgeon's expertise.

Indexed as

Meningeal NeoplasmsMeningiomaAgedCohort StudiesHumansNeoplasm Recurrence, LocalRetrospective StudiesTreatment OutcomeMeningiomaPrognostic modelSurgical decision-makingSurgical resectionThe elderly

Identifiers

PMID37555964
OpenAlexW4385684345

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.