Evidence map›Paper›PMID 31523629›Full record

ReviewWorld journal of transplantation2019

Histological and clinical evaluation of marginal donor kidneys before transplantation: Which is best?

Maurizio Salvadori, Aris Tsalouchos

Abstract readReview
In one paragraph

Review in World journal of transplantation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Deep learning segmentation of glomeruli on kidney donor frozen sections.Journal of medical imaging (Bellingham, Wash.) · 2021
    Article
  5. Article
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.

Maurizio SalvadoriDepartment of Transplantation Renal Unit, Careggi University Hospital, viale Pieraccini 18, Florence 50139, Italy. maurizio.salvadori1@gmail.com.
Aris TsalouchosNephrology and Dialysis Unit, Saints Cosmas and Damian Hospital, Via Cesare Battisti, Pescia (PT) 2-51017, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organ shortage represents one of the major limitations to the development of kidney transplantation. To increase the donor pool and to answer the ever increasing kidney request, physicians are recurring to marginal kidneys as kidneys from older donors, from hypertensive or diabetic donors and from non-heart beating donors. These kidneys are known to have frequently a worse outcome in the recipients. To date major problem is to evaluate such kidneys in order to use or to discard them before transplantation. The use of such kidneys create other relevant question as whether to use them as single or dual transplant and to allocate them fairly according transplant programs. The pre-transplant histological evaluation, the clinical evaluation of the donor or both the criteria joined has been used and according the time each criterion prevailed over the others. Aim of this review has been to examine the advantages and the drawbacks of any criterion and how they have changed with time. To date any criterion has several limitations and several authors have argued for the development of new guidelines in the field of the kidney evaluation for transplantation. Several authors argue that the use of omic technologies should improve the organ evaluation and studies are ongoing to evaluate these technologies either in the donor urine or in the biopsies taken before transplantation.

Indexed as

Deceased donor scoreDonor risk scoreKidney donor evaluationKidney evaluationKidney risk profile indexOmic technologiesPre-transplant biopsies

Identifiers

PMID31523629
PMCPMC6715576

What OpenQuestion holds

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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.