Evidence map›Paper›PMID 38929605›Full record

ArticleMedicina (Kaunas, Lithuania)2024

Prevalence, Predictors, and Outcomes of Pulmonary Hypertension in Patients with Lupus Nephritis.

Sixiu Chen, Junhan Guo, Xiamin Huang, Wei He, Xueqing Yu, Xi Xia, Wei Chen

Abstract read
In one paragraph

Article in Medicina (Kaunas, Lithuania), 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
–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

1 citing paper in PubMed.

  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

7 authors.

Sixiu ChenDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, NHC Key Laboratory of Nephrology (Sun Yat-sen University), Guangdong Provincial Key Laboratory of Nephrology, Guangzhou 510080, China.ORCID 0000-0002-7499-6002
Junhan GuoDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, NHC Key Laboratory of Nephrology (Sun Yat-sen University), Guangdong Provincial Key Laboratory of Nephrology, Guangzhou 510080, China.
Xiamin HuangDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, NHC Key Laboratory of Nephrology (Sun Yat-sen University), Guangdong Provincial Key Laboratory of Nephrology, Guangzhou 510080, China.
Wei HeDepartment of Ultrasound, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China.ORCID 0000-0003-1793-9770
Xueqing YuDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, NHC Key Laboratory of Nephrology (Sun Yat-sen University), Guangdong Provincial Key Laboratory of Nephrology, Guangzhou 510080, China.
Xi XiaDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, NHC Key Laboratory of Nephrology (Sun Yat-sen University), Guangdong Provincial Key Laboratory of Nephrology, Guangzhou 510080, China.
Wei ChenDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, NHC Key Laboratory of Nephrology (Sun Yat-sen University), Guangdong Provincial Key Laboratory of Nephrology, Guangzhou 510080, China.ORCID 0000-0003-4560-4599

Funding

Key Laboratory of National Health Commission 2002B60118Key Laboratory of Nephrology of Guangdong Province 2020B1212060028National Natural Science Foundation of China 81970599, 82170737
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Hypertension, PulmonaryLupus NephritisAdultFemaleGlomerular Filtration RateHumansMaleMiddle AgedPrevalenceProportional Hazards ModelsRetrospective StudiesRisk Factorskidney failurelupus nephritismortalitypulmonary hypertensionrenal dialysis

Identifiers

PMID38929605
PMCPMC11205415

What OpenQuestion holds

Textmetadata
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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.