Evidence map›Paper›PMID 41888991›Full record

ArticleEuropean journal of clinical investigation2026

A nomogram for predicting in-hospital death in a multinational cohort of patients with takotsubo syndrome.

Yuyi Chen, Amanda Chang, Fangyuan Cheng, Davide Di Vece, Michael Würdinger, Philipp Theil, Tou Kun Chong, Christian Templin, Jian Chen, Xiaodong Wu and 1 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of clinical investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Yuyi ChenDivision of Cardiology, Washington University in St. Louis, Saint Louis, Missouri, USA.ORCID https://orcid.org/0000-0002-7174-3720
Amanda ChangDepartment of Internal Medicine, University of Iowa, Iowa City, Iowa, USA.
Fangyuan ChengDepartment of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, China.
Davide Di VeceDepartment of Cardiology and Internal Medicine B, University Medicine Greifswald, Greifswald, Germany.
Michael WürdingerDepartment of Cardiology, University Heart Center, University Hospital Zurich, and University of Zurich, Zurich, Switzerland.
Philipp TheilDepartment of Cardiology, University Heart Center, University Hospital Zurich, and University of Zurich, Zurich, Switzerland.
Tou Kun ChongDepartment of Cardiology, Kiang Wu Hospital, Macao Special Administrative Region of the People's Republic of China, China.
Christian TemplinDepartment of Cardiology and Internal Medicine B, University Medicine Greifswald, Greifswald, Germany.
Jian ChenDepartment of Cardiology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, China.
Xiaodong WuDepartment of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, USA.
Kan LiuDivision of Cardiology, Washington University in St. Louis, Saint Louis, Missouri, USA.ORCID https://orcid.org/0009-0004-4666-5574

Funding

University of Iowa R01HL171624-01
6 · The paper itself

Abstract

backgroundAn effective risk stratification model on hospitalized patients with takotsubo syndrome (TTS) helps guide treatment to mitigate adverse events and improve prognosis. We aimed to develop a nomogram for predicting in-hospital death in a multinational cohort of TTS patients.

methodsWe enrolled 829 TTS patients from AmSC Research Network, InterTAK registry and ChiTTS registry, classified into the training (n = 578), test (n = 145) and external validation (n = 106) cohorts.

resultsBody mass index (BMI), chronic kidney disease (CKD), neurologic disorders, cardiogenic shock, low systolic blood pressure (SBP, <122 mmHg) and abnormal white blood cell (WBC, ≥11.3 × 10

conclusionsThe nomogram, composed of BMI, CKD, neurologic disorders, chest pain, cardiogenic shock, low SBP and abnormal WBC, helps predict in-hospital death in TTS patients.

Indexed as

Hospital MortalityNomogramsTakotsubo CardiomyopathyAgedAged, 80 and overArea Under CurveBody Mass IndexChest PainFemaleHumansHypotensionLeukocyte CountMaleMiddle AgedNervous System DiseasesRenal Insufficiency, Chronicin‐hospital deathnomogramprognostic scorerisk stratificationtakotsubo syndrome

Identifiers

PMID41888991
PMCPMC13022065

What Socratic 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 Socratic graph.