Evidence map›Paper›PMID 31431683›Full record

ArticleJournal of human hypertension2019

A risk score predicting new incidence of hypertension in Japan.

Yuka Kadomatsu, Mineko Tsukamoto, Tae Sasakabe, Sayo Kawai, Mariko Naito, Yoko Kubo, Rieko Okada, Takashi Tamura, Asahi Hishida, Atsuyoshi Mori and 3 more

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In one paragraph

Article in Journal of human hypertension, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Reply to "Oversimplified scoring system may compromise its utility as a predictive model for the development of hypertension".Hypertension research : official journal of the Japanese Society of Hypertension · 2022
    Article
  8. Development of a risk prediction score for hypertension incidence using Japanese health checkup data.Hypertension research : official journal of the Japanese Society of Hypertension · 2022
    Article
  9. Review
  10. 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

13 authors.

Yuka KadomatsuDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan. yuka.kadomatsu@gmail.com.
Mineko TsukamotoDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Tae SasakabeDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Sayo KawaiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Mariko NaitoDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yoko KuboDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Rieko OkadaDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID http://orcid.org/0000-0002-6206-2501
Takashi TamuraDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Asahi HishidaDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Atsuyoshi MoriSeirei Preventive Health Care Center, Shizuoka, Japan.
Nobuyuki HamajimaDepartment of Healthcare Administration, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Kohei YokoiDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Kenji WakaiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevention of hypertension starts with the awareness of risk. Our aim was to construct a simple and well-validated risk model for nonhypertensive people in Japan consisting of basic clinical variables, using a dataset for two areas derived from the Japan Multi-Institutional Collaborative Cohort Study. We constructed a continuous-value model using data on 5105 subjects participating in both the baseline survey and a second survey conducted after 5 years. The area under the receiver operating characteristic curve (AUC) and the Hosmer-Lemeshow χ

Indexed as

AdultBlood PressureHumansHypertensionIncidenceJapanMiddle AgedPredictive Value of TestsReproducibility of ResultsRisk AssessmentRisk Factors

Identifiers

What OpenQuestion holds

Textmetadata
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.