Evidence map›Paper›PMID 34822363›Full record

ArticleMedicines (Basel, Switzerland)2021

Feature Importance of Acute Rejection among Black Kidney Transplant Recipients by Utilizing Random Forest Analysis: An Analysis of the UNOS Database.

Charat Thongprayoon, Caroline C Jadlowiec, Napat Leeaphorn, Jackrapong Bruminhent, Prakrati C Acharya, Chirag Acharya, Pattharawin Pattharanitima, Wisit Kaewput, Boonphiphop Boonpheng, Wisit Cheungpasitporn

Open access · goldAbstract read
In one paragraph

Article in Medicines (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Use of Machine Learning Consensus Clustering to Identify Distinct Subtypes of Kidney Transplant Recipients With DGF and Associated Outcomes.Transplant international : official journal of the European Society for Organ Transplantation · 2022
    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 at 8 institutions in 2 countries.

Charat ThongprayoonDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Caroline C JadlowiecDivision of Transplant Surgery, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0000-0001-7860-9519
Napat LeeaphornRenal Transplant Program, University of Missouri-Kansas City School of Medicine/Saint Luke's Health System, Kansas City, MO 64131, USA.
Jackrapong BruminhentExcellence Center for Organ Transplantation, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand, Division of Infectious Diseases, Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand.ORCID 0000-0003-0930-8936
Prakrati C AcharyaDivision of Nephrology, Texas Tech Health Sciences Center El Paso, El Paso, TX 79905, USA.
Chirag AcharyaDivision of Nephrology, Texas Tech Health Sciences Center El Paso, El Paso, TX 79905, USA.
Pattharawin PattharanitimaDepartment of Internal Medicine, Faculty of Medicine, Thammasat University, Pathum Thani 12120, Thailand.ORCID 0000-0002-6010-0033
Wisit KaewputDepartment of Military and Community Medicine, Phramongkutklao College of Medicine, Bangkok 10400, Thailand.ORCID 0000-0003-2920-7235
Boonphiphop BoonphengDivision of Nephrology, University of Washington, Seattle, WA 98195, USA.
Wisit CheungpasitpornDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0001-9954-9711
Mayo Clinic · USTexas Tech University · USMahidol University · THPhramongkutklao Hospital · THSaint Luke's Health System · USThammasat University · THUniversity of Washington · USWinnMed · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligenceblackfeature importanceindividualized medicinekidney transplantmachine learningnephrologypersonalized medicineprecision medicineracerisk factorstransplantation

Identifiers

PMID34822363
PMCPMC8621202
OpenAlexW3209293753

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.