Evidence map›Paper›PMID 40883804›Full record

ArticleCritical care (London, England)2025

Left-digit bias in outcomes and invasive treatments among out-of-hospital cardiac arrest patients with shockable rhythm: a nationwide multicenter observational study with regression discontinuity design analysis.

Yuki Miyamoto, Tetsuhisa Kitamura, Ling Zha, Sho Komukai, Sho Oka, Tadaharu Shiozumi, Koki Nakada, Tasuku Matsuyama

Abstract readLetter
In one paragraph

Article in Critical care (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Challenging ageism in eCPR: the quiet discrimination.Critical care (London, England) · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Yuki MiyamotoDepartment of Emergency Medicine, Kyoto Prefectural University of Medicine, Kaji-cho 465, Kamigyo-ku, Kyoto, 6028566, Japan.
Tetsuhisa KitamuraDepartment of Social Medicine, Division of Environmental Medicine and Population Sciences, Graduate School of Medicine, Osaka University, Suita, Japan.
Ling ZhaDepartment of Social Medicine, Division of Environmental Medicine and Population Sciences, Graduate School of Medicine, Osaka University, Suita, Japan.
Sho KomukaiDepartment of Health Data Science, Tokyo Medical University, Tokyo, Japan.
Sho OkaDepartment of Emergency Medicine, Kyoto Prefectural University of Medicine, Kaji-cho 465, Kamigyo-ku, Kyoto, 6028566, Japan.
Tadaharu ShiozumiDepartment of Emergency Medicine, Kyoto Prefectural University of Medicine, Kaji-cho 465, Kamigyo-ku, Kyoto, 6028566, Japan.
Koki NakadaDepartment of Emergency Medicine, Kyoto Prefectural University of Medicine, Kaji-cho 465, Kamigyo-ku, Kyoto, 6028566, Japan.
Tasuku MatsuyamaDepartment of Emergency Medicine, Kyoto Prefectural University of Medicine, Kaji-cho 465, Kamigyo-ku, Kyoto, 6028566, Japan. task-m@koto.kpu-m.ac.jp.

Funding

Scientific Research from The Ministry of Education, Culture, Sports, Science and Technology 23KK0309
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID40883804
PMCPMC12395636

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.