Evidence map›Paper›PMID 35372910›Full record

ArticleKidney3602020

Seasonal and Secular Trends of Cardiovascular, Nutritional, and Inflammatory Markers in Patients on Hemodialysis.

Zachary Terner, Andrew Long, Marta Reviriego-Mendoza, John W Larkin, Len A Usvyat, Peter Kotanko, Franklin W Maddux, Yuedong Wang

Abstract read
In one paragraph

Article in Kidney360, 2020. 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
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0citing papers in PubMed
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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

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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

8 authors.

Zachary TernerDepartment of Statistics and Applied Probability, University of California-Santa Barbara, Santa Barbara, California.
Andrew LongGlobal Medical Office, Fresenius Medical Care, Waltham, Massachusetts.
Marta Reviriego-MendozaGlobal Medical Office, Fresenius Medical Care, Waltham, Massachusetts.
John W LarkinGlobal Medical Office, Fresenius Medical Care, Waltham, Massachusetts.
Len A UsvyatGlobal Medical Office, Fresenius Medical Care, Waltham, Massachusetts.
Peter KotankoResearch Division, Renal Research Institute, New York, New York; and.
Franklin W MadduxGlobal Medical Office, Fresenius Medical Care, Waltham, Massachusetts.
Yuedong WangDepartment of Statistics and Applied Probability, University of California-Santa Barbara, Santa Barbara, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: All life on earth has adapted to the effects of changing seasons. The general and ESKD populations exhibit seasonal rhythms in physiology and outcomes. The ESKD population also shows secular trends over calendar time that can convolute the influences of seasonal variations. We conducted an analysis that simultaneously considered both seasonality and calendar time to isolate these trends for cardiovascular, nutrition, and inflammation markers. Methods: We used data from adult patients on hemodialysis (HD) in the United States from 2010 through 2014. An additive model accounted for variations over both calendar time and time on dialysis. Calendar time trends were decomposed into seasonal and secular trends. Bootstrap procedures and likelihood ratio methods tested if seasonal and secular variations exist. Results: We analyzed data from 354,176 patients on HD at 2436 clinics. Patients were 59±15 years old, 57% were men, and 61% had diabetes. Isolated average secular trends showed decreases in pre-HD systolic BP (pre-SBP) of 2.6 mm Hg (95% CI, 2.4 to 2.8) and interdialytic weight gain (IDWG) of 0.35 kg (95% CI, 0.33 to 0.36) yet increases in post-HD weight of 2.76 kg (95% CI, 2.58 to 2.97). We found independent seasonal variations of 3.3 mm Hg (95% CI, 3.1 to 3.5) for pre-SBP, 0.19 kg (95% CI, 0.17 to 0.20) for IDWG, and 0.62 kg (95% CI, 0.46 to 0.79) for post-HD weight as well as 0.12 L (95% CI, 0.11 to 0.14) for ultrafiltration volume, 0.41 ml/kg per hour (95% CI, 0.37 to 0.45) for ultrafiltration rates, and 3.30 (95% CI, 2.90 to 3.77) hospital days per patient year, which were higher in winter versus summer. Conclusions: Patients on HD show marked seasonal variability of key indicators. Secular trends indicate decreasing BP and IDWG and increasing post-HD weight. These methods will be of importance for independently determining seasonal and secular trends in future assessments of population health.

Indexed as

Renal DialysisWeight GainAdultAgedBlood PressureHumansMaleMiddle AgedSeasonsUltrafiltrationAlbuminChronic Kidney DiseaseDialysisEnd Stage Kidney DiseaseHemodialysisHospitalizationInterdialytic Weight GainSeasonsSystolic Blood PressureUltrafiltration

Identifiers

PMID35372910
PMCPMC8809101

What OpenQuestion holds

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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.