Evidence map›Paper›PMID 32588210›Full record

ArticleEuropean radiology2020

Pre-treatment amide proton transfer imaging predicts treatment outcome in nasopharyngeal carcinoma.

Sahrish Qamar, Ann D King, Qi-Yong H Ai, Frankie Kwok Fai Mo, Weitian Chen, Darren M C Poon, Macy Tong, Brigette B Ma, David Ka-Wai Yeung, Yi-Xiang Wang and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  11. Review
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  14. Nasopharyngeal carcinoma: an evolving paradigm.Nature reviews. Clinical oncology · 2021
    Review
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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

11 authors at 2 institutions in 2 countries.

Sahrish QamarDepartment of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, New Territories, Hong Kong, S.A.R., China.
Ann D KingDepartment of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, New Territories, Hong Kong, S.A.R., China. king2015@cuhk.edu.hk.ORCID http://orcid.org/0000-0002-5280-8349
Qi-Yong H AiDepartment of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, New Territories, Hong Kong, S.A.R., China.
Frankie Kwok Fai MoDepartment of Clinical Oncology, State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, S.A.R., China.
Weitian ChenDepartment of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, New Territories, Hong Kong, S.A.R., China.
Darren M C PoonDepartment of Clinical Oncology, State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, S.A.R., China.
Macy TongDepartment of Clinical Oncology, State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, S.A.R., China.
Brigette B MaDepartment of Clinical Oncology, State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, S.A.R., China.
David Ka-Wai YeungDepartment of Clinical Oncology, State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, S.A.R., China.
Yi-Xiang WangDepartment of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, New Territories, Hong Kong, S.A.R., China.
Jing YuanMedical Physics and Research Department, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong, S.A.R., China.
Chinese University of Hong Kong · HKHong Kong Sanatorium and Hospital · HK

Funding

Research Grants Council, University Grants Committee CUHK141070/14 and SEG_CUHK02
6 · The paper itself

Abstract

objectiveTo investigate the value of pre-treatment amide proton transfer-weighted (APTw) imaging for predicting survival of patients with nasopharyngeal carcinoma (NPC). MATERIALS AND

methodsPre-treatment APTw imaging was performed in 77 NPC patients and the mean, 90th percentile, skewness, and kurtosis of APT asymmetry (APT

resultsLocoregional relapse, distant metastases, and disease relapse occurred in 14/77 (18%), 10/77 (13%), and 20/77 (26%) patients, respectively, at a median follow-up of 48.3 (10.6-67.4) months. Univariable analysis showed significant associations of LRRFS with APT

conclusionAPTw imaging may potentially predict survival in patients with NPC. KEY POINTS: • APTw imaging may provide new markers to predict survival in nasopharyngeal carcinoma. • APT

Indexed as

AdolescentAdultAgedAmidesDiagnostic ImagingDisease-Free SurvivalFemaleHumansKaplan-Meier EstimateMaleMiddle AgedNasopharyngeal CarcinomaNasopharyngeal NeoplasmsNeoplasm MetastasisNeoplasm Recurrence, LocalPrognosisAmidesProtonsAmide proton transferDisease-free survivalHead and neck cancerNasopharyngeal carcinomaTreatment outcome

Identifiers

PMID32588210
OpenAlexW3037731644

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.