Evidence map›Paper›PMID 31582973›Full record

ArticleInternational journal of endocrinology2019

Nomogram-Based New Recurrence Predicting System in Early-Stage Papillary Thyroid Cancer.

Yongfeng Ding, Zhuochao Mao, Jiaying Ruan, Xingyun Su, Linrong Li, Thomas J Fahey, Weibin Wang, Lisong Teng

Abstract read
In one paragraph

Article in International journal of endocrinology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

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  8. [Construction and verification of lymph node metastasis model of cN0 stage thyroid micropapillary carcinoma and discussion of surgical methods].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2021
    Article
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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

8 authors.

Yongfeng Ding *Cancer Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0002-9670-9246
Zhuochao Mao *Cancer Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0001-5297-0066
Jiaying RuanCancer Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xingyun SuCancer Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Linrong LiDepartment of Orthopedics, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Thomas J FaheyDepartment of Surgery, New York Presbyterian Hospital-Weill Cornell Medical College, New York, NY, USA.
Weibin WangCancer Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0002-1303-5486
Lisong TengCancer Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0003-3151-2001

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe clinicopathological risk factors to predict recurrence of papillary thyroid cancer (PTC) patients remain controversial.

methodsPTC patients treated with thyroidectomy between January 1997 and December 2011 at the First Affiliated Hospital of Zhejiang University (Zhejiang cohort) were included. Multivariate Cox regression analysis was conducted to identify independent recurrence predictors. Then, the nomogram model for predicting probability of recurrence was built.

resultsAccording to Zhejiang cohort (

conclusionsIn this study, we build up a new recurrence predicting system and establish a nomogram for early-stage PTC patients. This prognostic model may better predict individualized outcomes and conduct personalized treatments.

Identifiers

PMID31582973
PMCPMC6754965

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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.