Evidence map›Paper›PMID 38673554›Full record

ArticleJournal of clinical medicine2024

Analyzing Monthly Blood Test Data to Forecast 30-Day Hospital Readmissions among Maintenance Hemodialysis Patients.

Cheng-Han Tsai, Dong-Her Shih, Jue-Hong Tu, Ting-Wei Wu, Ming-Guei Tsai, Ming-Hung Shih

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical medicine, 2024. 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
2.8field-weighted citation impact, top 9% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

6 authors at 4 institutions in 2 countries.

Cheng-Han TsaiDepartment of Information Management and Institute of Healthcare Information Management, National Chung Cheng University, Chiayi City 62102, Taiwan.
Dong-Her ShihDepartment of Information Management, National Yunlin University of Science and Technology, Douliu 64002, Taiwan.ORCID 0000-0003-1605-8488
Jue-Hong TuDepartment of Nephrology, St. Joseph's Hospital, Yunlin 63241, Taiwan.
Ting-Wei WuDepartment of Information Management, National Yunlin University of Science and Technology, Douliu 64002, Taiwan.
Ming-Guei TsaiDepartment of Nephrology, St. Joseph's Hospital, Yunlin 63241, Taiwan.
Ming-Hung ShihDepartment of Electrical and Computer Engineering, Iowa State University, 2520 Osborn Drive, Ames, IA 50011, USA.
National Yunlin University of Science and Technology · TWSt. Joseph Hospital · USIowa State University · USNational Chung Cheng University · TW

Funding

the National Science and Technology Council, Taiwan (grant number NSTC 112-2410-H-224-007)
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

ensemble learninghemodialysishospital readmissions predictionmachine learning

Identifiers

PMID38673554
PMCPMC11051209
OpenAlexW4394798591

What OpenQuestion 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 OpenQuestion graph.