Evidence map›Paper›PMID 39632251›Full record

ArticleRenal failure2024

Diverse regulated cell death patterns and immune traits in kidney allograft with fibrosis: a prediction of renal allograft failure based on machine learning, single-nucleus RNA sequencing and molecular docking.

Yuqing Li, Jiandong Zhang, Xuemeng Qiu, Yifei Zhang, Jiyue Wu, Qing Bi, Zejia Sun, Wei Wang

Abstract read
In one paragraph

Article in Renal failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. 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

8 authors.

Yuqing LiDepartment of Urology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-9058-3216
Jiandong ZhangDepartment of Urology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-3042-2381
Xuemeng QiuDepartment of Urology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-0862-9164
Yifei ZhangDepartment of Urology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.ORCID 0009-0003-5299-828X
Jiyue WuDepartment of Urology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-8715-8756
Qing BiDepartment of Urology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-5472-1212
Zejia SunDepartment of Urology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-1079-3019
Wei WangDepartment of Urology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-2642-3338

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Indexed as

FibrosisKidney TransplantationMachine LearningMolecular Docking SimulationAdultAllograftsCell DeathFemaleGene Expression ProfilingGraft RejectionGraft SurvivalHumansKidneyMaleMiddle AgedSequence Analysis, RNAgraft failureimmune microenvironmentkidney transplantationmolecular dockingregulated cell deathRenal fibrosis

Identifiers

PMID39632251
PMCPMC11619039

What OpenQuestion holds

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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.