Evidence map›Paper›PMID 33381271›Full record

ArticleOxidative medicine and cellular longevity2020

Nomogram to Predict Poor Outcome after Mechanical Thrombectomy at Older Age and Histological Analysis of Thrombus Composition.

Longyan Meng, Haichao Wang, Hua Yang, Xiang Zhang, Quanbin Zhang, Qiong Dong, Zhongwen Shu, Liuwei Chen, Li Gong, Yanxin Zhao

Open access · hybridAbstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Oxidative medicine and cellular longevity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 2 institutions in 1 country.

Longyan MengDepartment of Neurology, Shanghai Tenth People's Hospital, Tongji University, Shanghai 200072, China.
Haichao WangDepartment of Neurology, Shanghai Tenth People's Hospital, Tongji University, Shanghai 200072, China.
Hua YangDepartment of Neurosurgery, Binhai People's Hospital, Jiangsu Province, China.
Xiang ZhangDepartment of Neurosurgery, Shanghai Tenth People's Hospital, Tongji University, Shanghai 200072, China.
Quanbin ZhangDepartment of Neurosurgery, Shanghai Tenth People's Hospital, Tongji University, Shanghai 200072, China.
Qiong DongDepartment of Neurology, Shanghai Tenth People's Hospital, Tongji University, Shanghai 200072, China.
Zhongwen ShuDepartment of Neurosurgery, Shanghai Tenth People's Hospital, Tongji University, Shanghai 200072, China.
Liuwei ChenDepartment of Neurosurgery, Shanghai Tenth People's Hospital, Tongji University, Shanghai 200072, China.
Li GongDepartment of Neurology, Shanghai Tenth People's Hospital, Tongji University, Shanghai 200072, China.ORCID https://orcid.org/0000-0002-8583-5108
Yanxin ZhaoDepartment of Neurology, Shanghai Tenth People's Hospital, Tongji University, Shanghai 200072, China.ORCID https://orcid.org/0000-0002-8982-7551
Tongji University · CNBinzhou People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An easy scoring system to predict the risk of poor outcome after mechanical thrombectomy among the elderly is currently not available. Therefore, we aimed to develop a nomogram for predicting the probability of negative prognosis in aged patients with acute ischemic stroke undergoing thrombectomy. In addition, we sought to investigate the association between histological thrombus composition and stroke characteristics. To this end, we prospectively studied a developed cohort using data collected from a stroke center from November 2015 to December 2019. The main outcome was functional independence, defined as a modified Rankin Scale score ≤ 2 at 90 days following a mechanical thrombectomy. A nomogram model based on multivariate logistic models was generated. The retrieved thrombi were stained with hematoxylin and eosin and assessed according to histological composition. Our results demonstrated that age ≥ 72 years was independently associated with poor outcome. A total of 304 participants completed the follow-up data to generate the nomogram model. After multivariate logistic regression, five variables remained independent predictors of outcome, including older age, hemorrhagic transformation, thrombolysis in cerebral infarction score, National Institute of Health Stroke score, and neutrophil-to-lymphocyte ratio, and were used to generate the nomogram. The area under the receiver-operating characteristic curve of the model was 0.803. The clots from elderly subjects with large-artery atherosclerosis, anterior circulation, and successful recanalization groups had a higher percentage of fibrin compared to those of younger patients. This is the first nomogram to be developed and validated in a stroke center cohort for individualized prediction of poor outcome in elderly patients after mechanical thrombectomy. Clot composition provides valuable information on the underlying pathogenesis of oxidation in older patients.

Indexed as

NomogramsAgedAged, 80 and overAge FactorsChinaFemaleFollow-Up StudiesFunctional StatusHistological TechniquesHumansIschemic StrokeLongitudinal StudiesMaleMechanical ThrombolysisMiddle AgedPostoperative Complications

Identifiers

PMID33381271
PMCPMC7765717
OpenAlexW3116763451

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.