Evidence map›Paper›PMID 34393679›Full record

ArticleContrast media & molecular imaging2021

The Efficacy of Radiotherapy for Nasopharyngeal Carcinoma under Magnetic Resonance Imaging.

Hao Zhang, Linlin Guo, Pengfei He, Zheng Chang

Open access · hybridAbstract read
In one paragraph

Article in Contrast media & molecular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 86% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Hao ZhangDepartment of Otorhinolaryngology-Head and Neck Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250033, China.ORCID 0000-0001-9246-7932
Linlin GuoDepartment of Neurology, Zhangqiu District People's Hospital, Jinan 250200, China.ORCID 0000-0001-7423-6495
Pengfei HeShandong Drug Addiction Monitoring and Treatment Institute, Jinan 250200, China.ORCID 0000-0001-7564-5135
Zheng ChangIntensive Care Unit, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250033, China.ORCID 0000-0002-1039-095X
Second Hospital of Shandong University · CNZhangqiu City People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to analyze the application value of diffusion tensor imaging (DTI) in the diagnosis of nasopharyngeal carcinoma (NC) radiotherapy. In this study, 102 patients with NC were selected as the experimental group (EG), and 58 healthy people examined in hospital were included in a control group (CG). All subjects were required to be examined with routine magnetic resonance imaging (MRI) and DTI before and after the treatment. The fractional anisotropy (FA) of the patients in EG before and after treatment and the CG were recorded. The apparent diffusion coefficients (ADC) of patients in the two groups were measured and recorded before and after the treatment. The recovery rate and adverse events of the patients in EG were observed and recorded after the treatment. The results showed that the FA values of the right cerebellum and left parietal lobe (LPL) of patients after treatment in the EG were much higher than those before treatment and the CG (

Indexed as

AdultAgedAnisotropyCase-Control StudiesFemaleFollow-Up StudiesHumansMagnetic Resonance ImagingMaleMiddle AgedNasopharyngeal CarcinomaNasopharyngeal NeoplasmsPrognosisRadiotherapyYoung Adult

Identifiers

PMID34393679
PMCPMC8349285
OpenAlexW3189334075

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.