Evidence map›Paper›PMID 30642880›Full record

ArticleJournal of lipid research2019

Longitudinal lipid trends and adverse outcomes in patients with CKD: a 13-year observational cohort study.

Ching-Wei Tsai, Han-Chun Huang, Hsiu-Yin Chiang, Chih-Wei Chung, Shih-Ni Chang, Pei-Lun Chu, Chin-Chi Kuo

Open access · hybridAbstract read
In one paragraph

Article in Journal of lipid research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
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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 at 3 institutions in 1 country.

Ching-Wei TsaiBig Data Center, China Medical University, Taichung, Taiwan.
Han-Chun HuangBig Data Center, China Medical University, Taichung, Taiwan.
Hsiu-Yin ChiangBig Data Center, China Medical University, Taichung, Taiwan.
Chih-Wei ChungBig Data Center, China Medical University, Taichung, Taiwan.
Shih-Ni ChangBig Data Center, China Medical University, Taichung, Taiwan.
Pei-Lun ChuDivision of Nephrology, Department of Internal Medicine, Fu Jen Catholic University Hospital, New Taipei City, Taiwan chinchik@gmail.com peilun.chu@gmail.com.
Chin-Chi KuoBig Data Center, China Medical University, Taichung, Taiwan chinchik@gmail.com peilun.chu@gmail.com.
China Medical University · TWChina Medical University Hospital · TWFu Jen Catholic University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies on the effects of longitudinal lipid trajectories on end-stage renal disease (ESRD) development and deaths among patients with chronic kidney disease (CKD) are limited. We conducted a registry-based prospective study using data from a 13-year multidisciplinary pre-ESRD care program. The final study population comprised 4,647 patients with CKD. Using group-based trajectory modeling, we dichotomized longitudinal trajectories of total cholesterol (T-CHO), triglyceride (TG), LDL cholesterol (LDL-C), and HDL cholesterol (HDL-C). Time to ESRD or death was analyzed using multiple Cox regression. At baseline, higher levels of T-CHO and LDL-C were associated with rapid progression to ESRD, whereas only HDL-C was positively associated with all-cause mortality [adjusted hazard ratio (HR), 1.20; 95% CI, 1.06-1.36;

Indexed as

AdultAgedAged, 80 and overCohort StudiesDisease ProgressionFemaleHumansLongitudinal StudiesMaleMiddle AgedRenal DialysisRenal Insufficiency, ChronicRiskYoung Adultchronic kidney diseasedialysiselectronic medical recordslipid profilelongitudinal trajectorymortality

Identifiers

PMID30642880
PMCPMC6399497
OpenAlexW2909021352

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.