Evidence map›Paper›PMID 31973604›Full record

ArticleJournal of the American Heart Association2020

Nomogram to Predict Mortality of Endovascular Thrombectomy for Ischemic Stroke Despite Successful Recanalization.

Xiaohao Zhang, Kang Yuan, Huaiming Wang, Pengyu Gong, Teng Jiang, Yi Xie, Lei Sheng, Dezhi Liu, Xinfeng Liu, Gelin Xu

Open access · goldAbstract readMulticenter StudyValidation Study
In one paragraph

Article in Journal of the American Heart Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 2% 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

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  5. Relationship between remnant cholesterol inflammatory index and clinical outcome in ischemic stroke patients treated with endovascular thrombectomy.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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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 5 institutions in 1 country.

Xiaohao ZhangDepartment of Neurology Jinling Hospital Medical School of Nanjing University Nanjing China.
Kang YuanDepartment of Neurology Jinling Hospital Nanjing Medical University Nanjing China.
Huaiming WangDepartment of Neurology Jinling Hospital Medical School of Nanjing University Nanjing China.
Pengyu GongDepartment of Neurology Nanjing First Hospital Nanjing Medical University Nanjing China.
Teng JiangDepartment of Neurology Nanjing First Hospital Nanjing Medical University Nanjing China.
Yi XieDepartment of Neurology Jinling Hospital Medical School of Nanjing University Nanjing China.
Lei ShengDepartment of Neurology Jiangsu Provincial Second Chinese Medicine Hospital Second Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China.
Dezhi LiuDepartment of Neurology Shanghai General Hospital Shanghai Jiao Tong University School of Medicine Shanghai China.
Xinfeng LiuDepartment of Neurology Jinling Hospital Medical School of Nanjing University Nanjing China.
Gelin XuDepartment of Neurology Jinling Hospital Medical School of Nanjing University Nanjing China.
Nanjing General Hospital of Nanjing Military Command · CNNanjing Medical University · CNNanjing University · CNNanjing University of Chinese Medicine · CNShanghai First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The trajectory of ischemic stroke patients attributable to large vessel occlusion is fundamentally altered by endovascular thrombectomy. This study aimed to develop a nomogram for predicting 3-month mortality risk in patients with ischemic stroke attributed to artery occlusion in anterior circulation who received successful endovascular thrombectomy treatment. Methods and Results Patients with successful endovascular thrombectomy (modified Thrombolysis in Cerebral Infarction IIb or III) were enrolled from a multicenter registry as the training cohort. Step-wise logistic regression with Akaike information criterion was utilized to establish the best-fit nomogram. The discriminative value of the nomogram was tested by concordance index. An additional 224 patients from 2 comprehensive stroke centers were prospectively recruited as the test cohort for validating the new nomogram. Altogether, 417 patients were enrolled in the training cohort. Age (odds ratio [OR], 1.07; 95% CI, 1.03-1.10), poor pretreatment collateral status (OR, 2.13; 95% CI, 1.18-3.85), baseline blood glucose level (OR, 1.12; 95% CI, 1.04-1.21), symptomatic intracranial hemorrhage (OR, 9.51; 95% CI, 4.54-19.92), and baseline National Institutes of Health Stroke Scale score (OR, 1.08; 95% CI, 1.03-1.12) were associated with mortality and were incorporated in the nomogram. The c-index of the nomogram was 0.835 (95% CI, 0.785-0.885) in the training cohort and 0.758 (95% CI, 0.667-0.849) in the test cohort. Conclusions The nomogram, composed of age, pretreatment collateral status, baseline blood glucose level, symptomatic intracranial hemorrhage, and baseline National Institutes of Health Stroke Scale score, may predict risk of mortality in patients with ischemic stroke and treated successfully with endovascular thrombectomy.

Indexed as

Decision Support TechniquesNomogramsAgedAged, 80 and overBrain IschemiaChinaEndovascular ProceduresFemaleHumansMaleMiddle AgedPredictive Value of TestsRegistriesReproducibility of ResultsRisk AssessmentRisk Factorsendovascular thrombectomyischemic strokemortalitynomogramrecanalization

Identifiers

PMID31973604
PMCPMC7033899
OpenAlexW3002815558

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.