Evidence map›Paper›PMID 40242786›Full record

ArticleKDD : proceedings. International Conference on Knowledge Discovery & Data Mining2025

SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction.

Changchang Yin, Shihan Fu, Bingsheng Yao, Thai-Hoang Pham, Weidan Cao, Dakuo Wang, Jeffrey Caterino, Ping Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in KDD : proceedings. International Conference on Knowledge Discovery & Data Mining, 2025. 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

8 authors.

Changchang YinThe Ohio State University, Columbus, Ohio, USA.
Shihan FuNorthestern University, Boston, Massachusetts, USA.
Bingsheng YaoNorthestern University, Boston, Massachusetts, USA.
Thai-Hoang PhamThe Ohio State University, Columbus, Ohio, USA.
Weidan CaoThe Ohio State University Wexner, Medical Center, Columbus, Ohio, USA.
Dakuo WangNorthestern University, Boston, Massachusetts, USA.
Jeffrey CaterinoThe Ohio State University Wexner, Medical Center, Columbus, Ohio, USA.
Ping ZhangThe Ohio State University, Columbus, Ohio, USA.

Funding

SCH: Improving Early Prediction and Decision-Making for Sepsis with Human-AI CollaborationR01AI188576 · NIAID · OHIO STATE UNIVERSITY · PI Jeffrey M Caterino, Lace M. Padilla · 2024 to 2026
$895k
NIAID NIH HHS R01 AI188576
6 · The paper itself

Abstract

Sepsis is an organ dysfunction caused by a deregulated immune response to an infection. Early sepsis prediction and identification allow for timely intervention, leading to improved clinical outcomes. Clinical calculators (

Indexed as

Deep learningEarly sepsis predictionElectronic health record

Identifiers

PMID40242786
PMCPMC11998859

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.