Evidence map›Paper›PMID 34165580›Full record

ArticleJAMA network open2021

Optimal Intervals of Ultrasonography Screening for Early Diagnosis of Hepatocellular Carcinoma in Taiwan.

Shih-Chiang Kuo, Chia-Ni Lin, Yih-Jyh Lin, Wei-Ying Chen, Jing-Shiang Hwang, Jung-Der Wang

Abstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Shih-Chiang KuoDepartment of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Chia-Ni LinDepartment of Public Health, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Yih-Jyh LinDepartment of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Wei-Ying ChenDepartment of Public Health, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Jing-Shiang HwangInstitute of Statistical Science, Academia Sinica, Taipei, Taiwan.
Jung-Der WangDepartment of Public Health, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: There are different clinical practices regarding ultrasonography screening intervals for hepatocellular carcinoma (HCC) despite recommendations from international guidelines. Objective: To evaluate whether ultrasonography screening using intervals suggested by international guidelines is associated with cancer stage shifting, reductions in mortality, and improved quality of life (QoL) for patients with HCC. Design, Setting, and Participants: This nationwide comparative effectiveness research study estimated lifetime survival functions using interlinkages of 3 databases from Taiwan-the Taiwan National Health Insurance, Taiwan National Cancer Registry, and National Mortality Registry-combined with QoL measurements obtained from National Cheng Kung University Hospital. In total, 114 022 patients listed as having newly diagnosed HCC from 2002 through 2015 in the Taiwan National Cancer Registry were followed up until 2017. The QoL values of 1059 patients with HCC who visited National Cheng Kung University Hospital were prospectively measured with the European QoL-5 dimensions questionnaire from 2011 through 2019. Patients were categorized based on the time between their last ultrasonography screening and the index date (90 days prior to HCC diagnosis) as 1 of 5 subcohorts: 6 months (0-6 months), 12 months (7-12 months), 24 months (13-24 months), 36 months (25-36 months), and longer than 36 months (no screening in the previous 3 years). Data were analyzed from April 2020 to April 2021. Main Outcomes and Measures: Life expectancy, quality-adjusted life expectancy, and loss of life expectancy or loss of quality-adjusted life expectancy compared with age-, sex-, and calendar year-matched cohorts. Results: There were 59 194 patients with Barcelona Clinic Liver Cancer staging information, including 42 081 men (mean [SD] age, 62.2 [12.6] years) and 17 113 women (mean [SD] age, 69.0 [11.2] years). There was a consistent trend showing that the longer the interval between ultrasonography examinations, the higher the loss of life expectancy and loss of quality-adjusted life expectancy for both sexes. Loss of quality-adjusted life expectancy values for male subcohorts were 10.0 (95% CI, 9.1-10.9) quality-adjusted life-years (QALYs) for ultrasonography screening intervals of 6 months, 11.1 (95% CI, 10.4-11.8) QALYs for 12 months, 12.1 (95% CI, 11.5-12.7) QALYs for 24 months, 13.1 (95% CI, 12.6-13.6) QALYs for 36 months, and 14.6 (95% CI, 14.2-15.0) QALYs for longer than 36 months. Loss of quality-adjusted life expectancy values for female subcohorts were 9.0 (95% CI, 8.3-9.6) QALYs for 6 months, 9.7 (95% CI, 9.2-10.2) QALYs for 12 months, 10.3 (95% CI, 9.8-10.7) QALYs for 24 months, 10.7 (95% CI, 10.2-11.1) QALYs for 36 months, and 11.4 (95% CI, 11.0-11.8) QALYs for longer than 36 months. Patients with underlying hepatitis B virus infection or cirrhosis had the greatest improvement in life expectancy with shorter screening intervals. Conclusions and Relevance: Regular ultrasonography screening with intervals less than 6 to 12 months may be associated with early detection of HCC, save lives, and improve the quality of life for patients with HCC from a lifetime perspective.

Indexed as

Time FactorsAgedEarly Detection of CancerFemaleHumansLiver NeoplasmsMaleMiddle AgedRegistriesSurveys and QuestionnairesTaiwanUltrasonography

Identifiers

PMID34165580
PMCPMC8226422

What OpenQuestion holds

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Registered trials

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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.