Evidence map›Paper›PMID 32563268›Full record

Trial reportWorld journal of surgical oncology2020

Natural disease progression and novel survival prediction model for hepatocellular carcinoma with spinal metastases: a 10-year single-center study.

Phichayut Phinyo, Chonmavadh Boonyanaruthee, Permsak Paholpak, Dumneoensun Pruksakorn, Areerak Phanphaisarn, Apiruk Sangsin

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in World journal of surgical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Epidemiological and pathological characteristics of spinal metastases from gastrointestinal cancers - a series of 40 cases.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
    Article
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 at 2 institutions in 1 country.

Phichayut PhinyoDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0002-8543-6254
Chonmavadh BoonyanarutheeDepartment of Orthopedics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0001-5240-8188
Permsak PaholpakDepartment of Orthopedics, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.ORCID https://orcid.org/0000-0003-0826-306X
Dumneoensun PruksakornDepartment of Orthopedics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0002-5358-9336
Areerak PhanphaisarnDepartment of Orthopedics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0001-5553-4868
Apiruk SangsinDepartment of Orthopedics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand. apiruk.s@cmu.ac.th.ORCID https://orcid.org/0000-0001-6304-6725
Chiang Mai University · THKhon Kaen University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividual prediction of life expectancy in patients with spinal metastases from hepatocellular carcinoma (HCC) is key for optimal treatment selection, especially when identifying potential candidates for surgery. Most reported prognostic tools provide categorical predictions, and only a few include HCC-related factors. This study aimed to investigate the natural progression of the disease and develop a prognostic tool that is capable of providing individualized predictions.

methodsPatients with HCC-derived metastatic spinal disease were identified from a retrospective cohort of patients with spinal metastases who were diagnosed at Chiang Mai University Hospital between 2006 and 2015. Kaplain-Meier methods and log-rank tests were used to statistically evaluate potential factors. Significant predictors from the univariable analysis were included in the flexible parametric survival regression for the development of a prognostic prediction model.

resultsOf the 1143 patients diagnosed with HCC, 69 (6%) had spinal metastases. The median survival time of patients with HCC after spinal metastases was 79 days. In the multivariable analysis, a total of 11 potential clinical predictors were included. After backward elimination, four final predictors remained: patients aged > 60 years, Karnofsky Performance Status, total bilirubin level, and multifocality of HCC. The model showed an acceptable discrimination at C-statistics 0.73 (95% confidence interval 0.68-0.79) and fair calibration.

conclusionFour clinical parameters were used in the development of the individual survival prediction model for patients with HCC-derived spinal metastases of Chiang Mai University or HCC-SM CMU model. Prospective external validation studies in a larger population are required prior to the clinical implication of the model.

Indexed as

Carcinoma, HepatocellularDecision Support TechniquesDisease ProgressionFemaleHumansLiver NeoplasmsMaleMiddle AgedPrognosisRetrospective StudiesSpinal NeoplasmsSurvival RateDecision makingHepatocellular carcinomaPrognosisPrognostic factorsSpinal metastasesSurvival analysis

Identifiers

PMID32563268
PMCPMC7306143
OpenAlexW3036789374

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.