Evidence map›Paper›PMID 41799575›Full record

ArticleAnnals of gastroenterological surgery2026

Validation of the Safe Application of Tokyo Guideline 2018 (TG18) Severity Grading and Treatment Algorithm in Super-Elderly Patients Aged 85 and Over With Acute Cholecystitis: A Study in the Japanese Tertiary Care Hospital.

Yuta Kobayashi, Ryo Oikawa, Yumi Shibuya, Masakazu Tatsuno, Atsuya Kamiyama, Tsuyoshi Ozawa, Keiichiro Hara, Shinogu Hatano, Shojiro Hata, Hirokazu Yamaguchi

Abstract read
In one paragraph

Article in Annals of gastroenterological surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Yuta KobayashiDepartment of Gastroenterological Surgery Showa General Hospital Tokyo Japan.ORCID https://orcid.org/0000-0001-6013-456X
Ryo OikawaDepartment of Gastroenterological Surgery Showa General Hospital Tokyo Japan.
Yumi ShibuyaDepartment of Gastroenterological Surgery Showa General Hospital Tokyo Japan.
Masakazu TatsunoDepartment of Gastroenterological Surgery Showa General Hospital Tokyo Japan.
Atsuya KamiyamaDepartment of Gastroenterological Surgery Showa General Hospital Tokyo Japan.
Tsuyoshi OzawaDepartment of Gastroenterological Surgery Showa General Hospital Tokyo Japan.
Keiichiro HaraDepartment of Gastroenterological Surgery Showa General Hospital Tokyo Japan.
Shinogu HatanoDepartment of Gastroenterological Surgery Showa General Hospital Tokyo Japan.
Shojiro HataDepartment of Gastroenterological Surgery Showa General Hospital Tokyo Japan.
Hirokazu YamaguchiDepartment of Gastroenterological Surgery Showa General Hospital Tokyo Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With population aging and extended healthy life expectancy, the management of acute cholecystitis (AC) in patients aged ≥ 85 years has evolved. However, the Tokyo Guidelines 2018 (TG18) for AC provide no specific risk assessment criteria for this population. This study aimed to evaluate the safety of applying the TG18 surgical algorithm to super-elderly patients. Methods: This retrospective study compared short- and long-term outcomes between a super-elderly group (≥ 85 years, Results: In severity Grade I, no significant increase in overall (21.1% vs. 21.1%, Conclusions: In TG18 severity Grades I and II, decision-making based on the TG18 algorithm can be safely applied to super-elderly patients, allowing for surgical intervention with favorable postoperative outcomes. However, careful assessment is necessary to avoid underestimating perioperative risks.

Indexed as

cholecystitisdementiasuper‐elderlysurgeryTG18

Identifiers

PMID41799575
PMCPMC12962015

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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.