Evidence map›Paper›PMID 29659584›Full record

ArticlePloS one2018

Long-term survival of patients with thyroid cancer according to the methods of tumor detection: A nationwide cohort study in Korea.

Yuh-Seog Jung, Chang-Mo Oh, Yeol Kim, Kyu-Won Jung, Junsun Ryu, Young-Joo Won

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

6 authors.

Yuh-Seog JungHead & Neck Oncology Clinic, Center for Thyroid Cancer, National Cancer Center Hospital, Goyang, South Korea.
Chang-Mo OhCancer registration and statistic branch, National Cancer Control Institute, National Cancer Center, Goyang, South Korea.
Yeol KimDepartment of Cancer Control and Population Health, National Cancer Center Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, South Korea.
Kyu-Won JungCancer registration and statistic branch, National Cancer Control Institute, National Cancer Center, Goyang, South Korea.
Junsun RyuHead & Neck Oncology Clinic, Center for Thyroid Cancer, National Cancer Center Hospital, Goyang, South Korea.
Young-Joo WonDepartment of Cancer Control and Population Health, National Cancer Center Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, South Korea.ORCID 0000-0001-9861-6740

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this retrospective cohort study, we compared the survival of patients detected by screening with those detected based on symptoms, according to their tumor stages. After propensity score matching, 2,130 patients with papillary or follicular thyroid cancer, identified by screening detection (SD) and clinical detection (CD), were included. We compared the survival rates of patients identified by SD and CD in the early and advanced stages of thyroid cancer. Cox proportional hazard models were used to compare the hazard ratios (HRs) for mortality between the two groups. Of the 1,065 patients in each group, 12 (1.1%) died in the SD group, compared to 44 (4.1%) in the CD group, during an average 9.4 years (p<0.001). For early stage, there was no significant difference in all-cause and thyroid cancer-specific mortality between the two groups (p = 0.08, p = 0.0502). However, for advanced stage, the survival rates in the SD group were significantly higher than in the CD group (p<0.001, p = 0.004). Moreover, after adjusting for covariates, the HRs of all-cause mortality of the SD group was significantly lower than that of the CD group for the advanced stage patients (HRs: 0.37 [95% CIs: 0.17-0.80]), while no significant difference was observed in the early stage. While screening for thyroid cancer was not beneficial for early stage patients, our findings suggest that detection via screening is associated with better survival for patients with advanced stage cancer. However, the effects of selection bias and lead time bias could not be entirely excluded.

Indexed as

AdolescentAdultAgedAged, 80 and overCause of DeathCohort StudiesFemaleHumansKaplan-Meier EstimateLymphatic MetastasisMaleMiddle AgedNeoplasm StagingPropensity ScoreProportional Hazards ModelsRepublic of Korea

Identifiers

PMID29659584
PMCPMC5901988

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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.