Evidence map›Paper›PMID 33002056›Full record

ArticlePloS one2020

Prediction of true Helicobacter pylori-uninfected status using a combination of age, serum antibody and pepsinogen: Logistic regression analysis.

Takako Takayama, Hideo Suzuki, Kosuke Okada, Takeshi Yamada, Kazushi Maruo, Yoko Saito, Yuji Mizokami

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 35% 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, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Guideline
  2. Nine-year risk stratification and prediction ofFrontiers in public health · 2025
    Article
  3. Article
  4. 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

7 authors at 2 institutions in 1 country.

Takako TakayamaTsukuba Preventive Medical Research Center, University of Tsukuba Hospital, Tsukuba, Japan.
Hideo SuzukiTsukuba Preventive Medical Research Center, University of Tsukuba Hospital, Tsukuba, Japan.ORCID 0000-0002-1469-7449
Kosuke OkadaTsukuba Preventive Medical Research Center, University of Tsukuba Hospital, Tsukuba, Japan.
Takeshi YamadaThe Department of Gastroenterology, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Kazushi MaruoDepartment of Biostatistics, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Yoko SaitoIbarakiken Medical Center, Mito, Japan.
Yuji MizokamiThe Department of Gastroenterology, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
University of Tsukuba · JPUniversity of Tsukuba Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo prevent gastric cancer, it is important to accurately determine the presence of Helicobacter pylori (HP) infection. However, correctly identifying HP-uninfected individuals is difficult when using the combination of HP antibody and pepsinogen (PG).

objectiveThe aim of this study was to discriminate true HP-uninfected individuals from others without the need for endoscopic examination.

methodsA total of 684 subjects with no history of HP eradication who underwent a medical checkup at our hospital were enrolled. The "true uninfected individuals" were determined by a negative stool antigen test and no endoscopic findings of HP-associated gastritis. HP antibody was measured by the latex immunoassay method. Logistic regression analysis using a combination of noninvasive parameters was performed to develop a formula for predicting true uninfected individuals.

resultsA total of 528 subjects were classified as true uninfected individuals. Logistic regression analysis showed that statistically significant factors for true uninfected individuals were age (p < 0.001), HP antibody (p <0.001), PGI (p <0.001), and PGII (p = 0.012). The areas under the curve (AUCs) for true uninfected individuals were the highest (0.944) upon applying the prediction formula including four parameters: age, HP antibody, PGI, and PGII. Both the sensitivity and the specificity of the four-parameter prediction formula were higher than those of the traditional three-parameter model using HP antibody, PGI, and PGI/II ratio (sensitivity: 93.2% vs. 86.6% and specificity: 88.5% vs. 82.7%).

conclusionsOur findings suggest that a model with a combination of four noninvasive parameters is useful for predicting true HP-uninfected individuals without the need for endoscopic examination.

Indexed as

AdultAgedAge FactorsAntibodies, BacterialArea Under CurveFemaleGastritisHelicobacter InfectionsHelicobacter pyloriHumansLogistic ModelsMaleMiddle AgedPepsinogen AAntibodies, BacterialPepsinogen A

Identifiers

PMID33002056
PMCPMC7529238
OpenAlexW3089486762

What OpenQuestion holds

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LicenceCC BY
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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.