Evidence map›Paper›PMID 34745508›Full record

ArticleJournal of healthcare engineering2021

Study on the Correlation Factors of Tumour Prognosis after Intravascular Interventional Therapy.

Lei Zheng, Hua Feng, Limin Yin, Jun Wang, Wei Zhou, Sunin Tang, Mingming Li

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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
2.2field-weighted citation impact, top 11% 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, 28 citations in OpenAlex.

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  11. Application of Deep Learning Technology in Glioma.Journal of healthcare engineering · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Lei ZhengTaizhou Hospital of Traditional Chinese Medicine, Taizhou Jiangsu 225300, China.ORCID 0000-0002-4536-2043
Hua FengTaixing People's Hospital, Taizhou, Jiangsu 225400, China.ORCID 0000-0003-4748-6231
Limin YinTaixing People's Hospital, Taizhou, Jiangsu 225400, China.ORCID 0000-0002-2184-5323
Jun WangTaixing People's Hospital, Taizhou, Jiangsu 225400, China.ORCID 0000-0003-0546-9580
Wei ZhouTaixing People's Hospital, Taizhou, Jiangsu 225400, China.ORCID 0000-0002-0098-1545
Sunin TangTaixing People's Hospital, Taizhou, Jiangsu 225400, China.ORCID 0000-0002-8682-8102
Mingming LiFirst Affiliated Hospital of Soochow University, Suzhou Jiangsu 215000, China.ORCID 0000-0002-1795-1262
Taixing People's Hospital · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noninvasive or minimally invasive interventional surgery was selected, and the complications were less and had no significant impact on the quality of life of patients. Tumour patients are often accompanied by cerebrovascular diseases, metabolic diseases, and other basic diseases, which more or less adversely affect the surgical efficacy of tumour. In this paper, endovascular remobilization was used to treat tumour; the basic condition of patients before operation and the interventional operation plan were introduced. Through the analysis of clinical data and prognosis evaluation results of tumour patients receiving intravascular interventional therapy, the patients were divided into good prognosis group and poor prognosis group according to the modified Rankin scale score at discharge. The relationship between gender, age, history of hypertension, tumour width, tumour size, preoperative Hunt-Hess grade, interventional surgery method, and prognosis related to intravascular interventional therapy was explored. The results showed that intravascular interventional therapy for tumour patients can obtain a good prognosis, which provides a reference for the future preoperative assessment of treatment risk and possible prognosis and provides a theoretical basis for the formulation of treatment plan to improve prognosis.

Indexed as

NeoplasmsSubarachnoid HemorrhageHumansPrognosisQuality of LifeTreatment Outcome

Identifiers

PMID34745508
PMCPMC8566042
OpenAlexW3208866396

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.