Evidence map›Paper›PMID 40305113›Full record

ArticleClinical journal of the American Society of Nephrology : CJASN2026

Decoding Natural Language Processing and Large Language Models in Kidney Health.

Hailey E Yetman, Lili Chan

Abstract read
In one paragraph

Article in Clinical journal of the American Society of Nephrology : CJASN, 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

2 authors.

Hailey E YetmanDepartment of Medical Education, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0003-4508-0502
Lili ChanThe Barbara T. Murphy Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0003-4300-5760

Funding

Improving risk prediction of adverse outcomes in hemodialysis patients by incorporating non-traditional risk factorsK23DK124645 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHAN, LILI · 2021 to 2025
$952k
NIDDK NIH HHS K23DK124645
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligence

Identifiers

PMID40305113
PMCPMC13135053

What OpenQuestion holds

Textmetadata
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.