Evidence map›Paper›PMID 38007597›Full record

ArticleScientific reports2023

A new model to estimate duration of survival in patients with hepatocellular carcinoma with BCLC intermediate stage.

Masashi Ninomiya, Mio Tsuruoka, Jun Inoue, Atsushi Hiraoka, Tomoaki Iwata, Akitoshi Sano, Kosuke Sato, Masazumi Onuki, Satoko Sawahashi, Hidekatsu Kuroda and 15 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
1.0field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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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

25 authors at 9 institutions in 1 country.

Masashi NinomiyaDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryomachi, Aobaku, Sendai, Miyagi, 9808574, Japan. m-nino5@hello.odn.ne.jp.
Mio TsuruokaDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryomachi, Aobaku, Sendai, Miyagi, 9808574, Japan.
Jun InoueDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryomachi, Aobaku, Sendai, Miyagi, 9808574, Japan.
Atsushi HiraokaGastroenterology Center, Ehime Prefectural Central Hospital, Matsuyama, Ehime, Japan.
Tomoaki IwataDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryomachi, Aobaku, Sendai, Miyagi, 9808574, Japan.
Akitoshi SanoDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryomachi, Aobaku, Sendai, Miyagi, 9808574, Japan.
Kosuke SatoDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryomachi, Aobaku, Sendai, Miyagi, 9808574, Japan.
Masazumi OnukiDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryomachi, Aobaku, Sendai, Miyagi, 9808574, Japan.
Satoko SawahashiDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryomachi, Aobaku, Sendai, Miyagi, 9808574, Japan.
Hidekatsu KurodaDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University, Shiwa, Iwate, Japan.
Takayoshi OikawaDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University, Shiwa, Iwate, Japan.
Masashi FujitaDepartment of Gastroenterology, Fukushima Medical University School of Medicine, Fukushima, Japan.
Kazumichi AbeDepartment of Gastroenterology, Fukushima Medical University School of Medicine, Fukushima, Japan.
Tomohiro KatsumiDepartment of Gastroenterology, Yamagata University Faculty of Medicine, Yamagata, Japan.
Wataru SatoDepartment of Gastroenterology, Graduate School of Medicine, Akita University, Akita, Japan.
Go IgarashiDepartment of Gastroenterology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Chikara IinoDepartment of Gastroenterology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Tetsu EndoDepartment of Gastroenterology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Nobukazu TanabeDepartment of Gastroenterology, National Hospital Organization Sendai Medical Center, Sendai, Japan.
Hiroshi NumaoDepartment of Gastroenterology, Aomori Prefectural Central Hospital, Aomori, Japan.
Katsunori IijimaDepartment of Gastroenterology, Graduate School of Medicine, Akita University, Akita, Japan.
Takayuki MatsumotoDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University, Shiwa, Iwate, Japan.
Hiromasa OhiraDepartment of Gastroenterology, Fukushima Medical University School of Medicine, Fukushima, Japan.
Yoshiyuki UenoDepartment of Gastroenterology, Yamagata University Faculty of Medicine, Yamagata, Japan.
Atsushi MasamuneDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryomachi, Aobaku, Sendai, Miyagi, 9808574, Japan.
Tohoku University · JPFukushima Medical University · JPHirosaki University · JPIwate Medical University · JPAkita University · JPYamagata University · JPAomori Prefectural Central Hospital · JPEhime Prefectural Central Hospital · JPSendai Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is difficult to determine whether an individual therapy contributes to the elongation of survival because of the difficulty of organizing clinical research in patients who receive multiple treatments in HCC. We aimed to establish a new model of survival prediction in patients with intermediate stage HCC to establish standards in the recent and coming multi-MTA era. This analysis was prepared using a data set of 753 patients diagnosed HCC prior to 2017. Multiple regression analysis showed age, naïve or recurrence, the size of the largest tumor nodule, the number of nodules, total bilirubin, albumin and α-fetoprotein as independent predictors of survival. A Weibull model had the best fit and, based on these predictors, we established a new predicted survival model. The survival duration can be predicted the proposed model; EXP (4.02580 + (- 0.0086253) × age + (- 0.34667) × (naïve/recurrence) + (- 0.034962) × (number of nodules) + (- 0.079447) × (the size of the largest nodule) + (- 0.21696) × (total bilirubin) + 0.27912 × (albumin) + (- 0.00014741) × (α-fetoprotein)) × (- natural logarithm(0.5))^0.67250. This model is useful for the planning and evaluating the efficacy of recent sequential therapies in multi-MTA era.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsAlbuminsalpha-FetoproteinsBilirubinHumansNeoplasm StagingRetrospective StudiesTreatment OutcomeAlbuminsalpha-FetoproteinsBilirubin

Identifiers

PMID38007597
PMCPMC10676419
OpenAlexW4389002834

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LicenceCC BY
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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.