Evidence map›Paper›PMID 26803650›Full record

ReviewCurrent diabetes reports2016

Hyperglycemia and Diabetes Mellitus Following Organ Transplantation.

Rodolfo J Galindo, Amisha Wallia

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

  1. Trial
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  4. Review
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  6. Review
  7. Observational
  8. Article
  9. 2020 Clinical Update in Liver Transplantation.Journal of cardiothoracic and vascular anesthesia · 2022
    Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. 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

2 authors.

Rodolfo J GalindoDivision of Endocrinology, Diabetes, and Bone Diseases, Icahn School of Medicine at Mount Sinai, Mount Sinai St. Luke's Hospital, 1111 Amsterdam Ave, Babcock Building, 10th floor, Room 1020, New York, NY, 10025, USA. rgalindo@chpnet.org.
Amisha WalliaDivision of Endocrinology, Metabolism and Molecular Medicine, Center for Healthcare Studies, Northwestern University Feinberg School of Medicine, 654 N Michigan Avenue, Suite 530, Chicago, IL, 60611, USA. a-wallia@fsm.northwestern.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperglycemia is common following organ transplantation, regardless of the pre-transplant diabetes status. Transient post-transplant hyperglycemia and/or new-onset diabetes after transplantation (NODAT) are common and are associated with increased morbidity and mortality. NODAT and type 2 diabetes share similar characteristics, but the pathophysiology may differ. Immunosuppressive agents and steroids play a key role in the development of NODAT. Glycemic control is challenging in this population due to fluctuating renal/end-organ function, immunosuppressive dosing, nutritional status, and drug-drug interactions. A proactive and multidisciplinary approach is essential, along with flexible protocols to adjust to patient status, type of organ transplanted, and corticosteroid regimens. Insulin is the preferred agent for hospitalized patients and during the early post-transplant period; optimal glycemic control (BG < 180 mg/dl with minimal hypoglycemia [<70 mg/dl]) is desired.

Indexed as

Diabetes Mellitus, Type 2HyperglycemiaHumansImmunosuppressive AgentsInsulinOrgan TransplantationTreatment OutcomeImmunosuppressive AgentsInsulinDiabetes mellitusHyperglycemiaNew-onset diabetes after transplantationOrgan transplantationOutcomesPost-transplant diabetes

Identifiers

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.