Evidence map›Paper›PMID 31914095›Full record

Observational studyMedicine2020

Real-world treatment patterns of renal anemia in hemodialysis patients: A multicenter cohort study performed using DialysisNet (RRAHD study).

Hyo Jin Kim, Ji In Park, Kyung Don Yoo, Yunmi Kim, Hyunjeong Baek, Sung Ho Kim, Taehoon Chang, Hye Hyeon Kim, Kye Hwa Lee, Seungsik Hwang and 3 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

13 authors at 10 institutions in 2 countries.

Hyo Jin KimDepartment of Internal Medicine, Pusan National University Hospital, Busan.
Ji In ParkDepartment of Internal Medicine, Kangwon National University School of Medicine.
Kyung Don YooDivision of Nephrology, Department of Internal Medicine, Ulsan University Hospital, Ulsan.
Yunmi KimDepartment of Internal Medicine, Inje University Busan Paik Hospital.
Hyunjeong BaekDepartment of Internal Medicine, Kangwon National University School of Medicine.
Sung Ho KimSeoul National University Biomedical Informatics (SNUBI), Division of Biomedical Informatics, Seoul National University College of Medicine.
Taehoon ChangSeoul National University Biomedical Informatics (SNUBI), Division of Biomedical Informatics, Seoul National University College of Medicine.
Hye Hyeon KimSeoul National University Biomedical Informatics (SNUBI), Division of Biomedical Informatics, Seoul National University College of Medicine.
Kye Hwa LeeCenter for Precision Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Seungsik HwangDepartment of Public Health Science, Graduate School of Public Health, Seoul National University.
Clara Tammy KimInstitute of Life and Death Studies, Hallym University, Chuncheon.
Hoseok KooDepartment of Internal Medicine, Seoul Paik Hospital, Inje University College of Medicine.
Ju Han KimSeoul National University Biomedical Informatics (SNUBI), Division of Biomedical Informatics, Seoul National University College of Medicine.
Seoul National University · KRNew Generation University College · ETHallym University · KRInje University Busan Paik Hospital · KRInje University Seoul Paik Hospital · KRKangwon National University · KRKangwon National University Hospital · KRPusan National University Hospital · KRSeoul National University Hospital · KRUlsan University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A multicenter cohort study.The DialysisNet was previously developed for the management of hemodialysis (HD) patients based on the American Society for Testing and Materials Continuity of Care Records by metadata transformation. DialysisNet is a dialysis patient management program created by using the personal health record care platform to overcome the problems of registry studies, in real-time.Here, we aimed to investigate the pattern of treatment for renal anemia in HD patients using DialysisNet.We performed a multicenter cohort study among HD patients who were treated at one of the three Korean university-affiliated hospitals from January 2016 to December 2016. Subjects were divided into 4 hemoglobin variability groups by quartiles. The variable anemia treatment pattern was reviewed. To determine renal anemia treatment patterns, we automatically collected information on the practice of anemia treatment patterns such as erythropoietin stimulating agent (ESA) doses and administration frequencies, and targeted hemoglobin maintenance rate. Individual hemoglobin variabilities were expressed as (standard deviations)/(√(n/[n-1]).The records of 159 patients were analyzed (Hospital A: 35, Hospital B: 21, Hospital C: 103). Mean patients' age was 65.6 ± 12.8 years, and 61.6% were men. Overall, hemoglobin level was 10.5[7.43;13.93] g/dL. 158 (99.3%) patients were using ESA; and overall, the epoetin alfa dose was 33,000[4000;136,800] U per week. Hemoglobin levels (P = .206) and epoetin alfa doses were similar (P = .924) for patients with different hemoglobin variabilities. The hemoglobin target maintenance rate was lower in the highest hemoglobin variability group than in the lowest variability group (P = .045).In this study, detailed information on the actual anemia treatment patterns were obtained using the DialysisNet. We expect that DialysisNet will simplify and improve the renal anemia management for both dialysis patients and health care providers.

Indexed as

Databases, FactualAgedAnemiaDose-Response Relationship, DrugElectronic Health RecordsEpoetin AlfaFemaleHematinicsHemoglobinsHumansMaleMiddle AgedRenal DialysisUnited StatesEpoetin AlfaHematinicsHemoglobins

Identifiers

PMID31914095
PMCPMC6959890
OpenAlexW2747825383

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.