Evidence map›Paper›PMID 30977847›Full record

ArticleJAMA network open2019

Assessment of Postdonation Outcomes in US Living Kidney Donors Using Publicly Available Data Sets.

Jieming Chen, Sanchita Bhattacharya, Marina Sirota, Sunisa Laiudompitak, Henry Schaefer, Elizabeth Thomson, Jeff Wiser, Minnie M Sarwal, Atul J Butte

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Big Data in Nephrology.Nature reviews. Nephrology · 2021
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Error in Figure 2.JAMA network open · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Jieming ChenBakar Computational Health Sciences Institute, University of California, San Francisco.
Sanchita BhattacharyaBakar Computational Health Sciences Institute, University of California, San Francisco.
Marina SirotaBakar Computational Health Sciences Institute, University of California, San Francisco.
Sunisa LaiudompitakBakar Computational Health Sciences Institute, University of California, San Francisco.
Henry SchaeferESAC Inc, Rockville, Maryland.
Elizabeth ThomsonNorthrop Grumman Information Systems Health IT, Rockville, Maryland.
Jeff WiserNorthrop Grumman Information Systems Health IT, Rockville, Maryland.
Minnie M SarwalDepartment of Pediatrics, University of California, San Francisco.
Atul J ButteBakar Computational Health Sciences Institute, University of California, San Francisco.
University of California, San Francisco · USNorthrop Grumman (United States) · USEnterprise Science and Computing (United States) · US

Funding

NIH HHS HHSN316201200036W
6 · The paper itself

Abstract

Importance: There are limited resources providing postdonation conditions that can occur in living donors (LDs) of solid-organ transplant. Consequently, it is difficult to visualize and understand possible postdonation outcomes in LDs. Objective: To assemble an open access resource that is representative of the demographic characteristics in the US national registry, maintained by the Organ Procurement and Transplantation Network and administered by the United Network for Organ Sharing, but contains more follow-up information to help to examine postdonation outcomes in LDs. Design, Setting, and Participants: Cohort study in which the data for the resource and analyses stemmed from the transplant data set derived from 27 clinical studies from the ImmPort database, which is an open access repository for clinical studies. The studies included data collected from 1963 to 2016. Data from the United Network for Organ Sharing Organ Procurement and Transplantation Network national registry collected from October 1987 to March 2016 were used to determine representativeness. Data analysis took place from June 2016 to May 2018. Data from 20 ImmPort clinical studies (including clinical trials and observational studies) were curated, and a cohort of 11 263 LDs was studied, excluding deceased donors, LDs with 95% or more missing data, and studies without a complete data dictionary. The harmonization process involved the extraction of common features from each clinical study based on categories that included demographic characteristics as well as predonation and postdonation data. Main Outcomes and Measures: Thirty-six postdonation events were identified, represented, and analyzed via a trajectory network analysis. Results: The curated data contained 10 869 living kidney donors (median [interquartile range] age, 39 [31-48] years; 6175 [56.8%] women; and 9133 [86.6%] of European descent). A total of 9558 living kidney donors with postdonation data were analyzed. Overall, 1406 LDs (14.7%) had postdonation events. The 4 most common events were hypertension (806 [8.4%]), diabetes (190 [2.0%]), proteinuria (171 [1.8%]), and postoperative ileus (147 [1.5%]). Relatively few events (n = 269) occurred before the 2-year postdonation mark. Of the 1746 events that took place 2 years or more after donation, 1575 (90.2%) were nonsurgical; nonsurgical conditions tended to occur in the wide range of 2 to 40 years after donation (odds ratio, 38.3; 95% CI, 4.12-1956.9). Conclusions and Relevance: Most events that occurred more than 2 years after donation were nonsurgical and could occur up to 40 years after donation. Findings support the construction of a national registry for long-term monitoring of LDs and confirm the value of secondary reanalysis of clinical studies.

Indexed as

AdultClinical Trials as TopicDiabetes MellitusDirected Tissue DonationFemaleFollow-Up StudiesGlomerular Filtration RateHumansHypertensionIleusKidney TransplantationLiving DonorsMaleMiddle AgedPostoperative ComplicationsProteinuria

Identifiers

PMID30977847
PMCPMC6481454
OpenAlexW2939452113

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.