Evidence map›Paper›PMID 26250781›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2016

Kidney Function and Fracture Risk: The Atherosclerosis Risk in Communities (ARIC) Study.

Natalie Daya, Annie Voskertchian, Andrea L C Schneider, Shoshana Ballew, Mara McAdams DeMarco, Josef Coresh, Lawrence J Appel, Elizabeth Selvin, Morgan E Grams

Abstract read
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
3.9field-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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. The association between chronic kidney disease, falls, and fractures: a systematic review and meta-analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2020
    Pooled it
  2. Trial
  3. Association of Increased Urinary Albumin With Risk of Incident Clinical Fracture and Rate of Hip Bone Loss: the Osteoporotic Fractures in Men Study.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2017
    Trial
  4. Article
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  8. Population Pharmacokinetic Model of Vitamin DInternational journal of molecular sciences · 2024
    Article
  9. Cystatin C is associated with osteoporosis and fractures: An observational study based on Mendelian randomization analysis.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
    Observational
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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

9 authors at 2 institutions in 1 country.

Natalie Daya *Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland.
Annie Voskertchian *Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland.
Andrea L C SchneiderWelch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland.
Shoshana BallewWelch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland.
Mara McAdams DeMarcoDepartment of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland.
Josef CoreshWelch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland.
Lawrence J AppelWelch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland.
Elizabeth SelvinWelch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland.
Morgan E GramsWelch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland.
Johns Hopkins University · USJohns Hopkins Medicine · US

Funding

Diabetes and Prediabetes in Older Adults in ARICR01DK089174 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SELVIN, ELIZABETH · 2011 to 2020
$6.4M
The comparative effectiveness of kidney transplantation in advanced CKDK08DK092287 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI GRAMS, MORGAN ERIKA · 2012 to 2016
$793k
Research and Mentoring in the Clinical Epidemiology of Type 2 DiabetesK24DK106414 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SELVIN, ELIZABETH · 2015 to 2019
$654k
NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100005GNHLBI NIH HHS HHSN268201100005INHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100008INHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100009INHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100011INHLBI NIH HHS HHSN268201100012CNIDDK NIH HHS K08 DK092287NIDDK NIH HHS K08DK092287NIDDK NIH HHS K24 DK106414NIDDK NIH HHS R01 DK089174
6 · The paper itself

Abstract

backgroundPeople with end-stage renal disease are at high risk for bone fracture. Less is known about fracture risk in milder chronic kidney disease and whether chronic kidney disease-associated fracture risk varies by sex or assessment with alternative kidney markers. STUDY

designProspective cohort study. SETTING &

participants10,955 participants from the Atherosclerosis Risk in Communities (ARIC) Study followed up from 1996 to 2011. PREDICTOR: Kidney function as assessed by creatinine-based estimated glomerular filtration rate (eGFRcr), urine albumin-creatinine ratio, and alternative filtration markers. OUTCOMES: Fracture-related hospitalizations determined by diagnostic code. MEASUREMENTS: Baseline kidney markers; hospitalizations identified by self-report during annual telephone contact and active surveillance of local hospital discharge lists.

resultsMean age of participants was 63 years, 56% were women, and 22% were black. During a median follow-up of 13 years, there were 722 incident fracture-related hospitalizations. Older age, female sex, and white race were associated with higher risk for fracture (P<0.001). The relationship between eGFRcr and fracture risk was nonlinear: <60mL/min/1.73m(2), lower eGFRcr was associated with higher fracture risk (adjusted HR per 10mL/min/1.73m(2) lower, 1.24; 95% CI, 1.05-1.47); there was no statistically significant association for ≥60mL/min/1.73m(2) in the primary analysis. In contrast, there was a graded association between other markers of kidney function and subsequent fracture, including albumin-creatinine ratio (HR per doubling, 1.10; 95% CI, 1.06-1.14), cystatin C-based eGFR (HR per 1-SD decrease, 1.15; 95% CI, 1.06-1.25), and 1/β2-microglobulin (HR per 1-SD decrease, 1.26, 95% CI, 1.15-1.37). LIMITATIONS: No bone mineral density assessment; one-time measurement of kidney function.

conclusionsBoth low eGFR and higher albuminuria were significant risk factors for fracture in this community-based population. The shape of the association in the upper ranges of eGFR varied by the filtration marker used in estimation.

Indexed as

Residence CharacteristicsAlbuminuriaAtherosclerosisCohort StudiesFemaleFollow-Up StudiesFractures, BoneGlomerular Filtration RateHumansKidney Failure, ChronicKidney Function TestsMaleMiddle AgedProspective StudiesRisk Factorsalbumin-creatinine ratio (ACR)albuminuriaBone fracturechronic kidney disease (CKD)estimated glomerular filtration rate (eGFR)fracture riskhospitalizationhospitalized fracturekidney filtration markersrenal function

Identifiers

PMID26250781
PMCPMC4724513
OpenAlexW1082537227

What OpenQuestion holds

Textmetadata
LicenceTDM
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.