Evidence map›Paper›PMID 25971849›Full record

ArticleJournal of nephrology2016

Serum biomarkers in uncontrolled no heart-beating donors may identify kidneys that will never work after transplantation.

Antonio J López-Farré, Juana María Santos-Sancho, Javier Modrego, Antonio Segura, José J Zamorano-León, Leyre Martín, Ana Sánchez-Fructuoso, Pablo Rodríguez-Sierra, Fernando Prados, Alonso Mateos and 3 more

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In one paragraph

Article in Journal of nephrology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 100% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

13 authors at 5 institutions in 2 countries.

Antonio J López-FarréMedicine Department, Universidad Complutense de Madrid, Madrid, Spain.
Juana María Santos-SanchoPreventive Medicine and Public Health, School of Medicine, Universidad Complutense de Madrid, Madrid, Spain.
Javier ModregoInstituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain.
Antonio SeguraHealth Sciences Institute, Talavera de la Reina, Toledo, Spain.
José J Zamorano-LeónInstituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain.
Leyre MartínNephrology Department, Hospital Clínico San Carlos, Universidad Complutense de Madrid, C/Profesor Martín Lagos s/n, Madrid, 28040, Spain.
Ana Sánchez-FructuosoNephrology Department, Hospital Clínico San Carlos, Universidad Complutense de Madrid, C/Profesor Martín Lagos s/n, Madrid, 28040, Spain.
Pablo Rodríguez-SierraInstituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain.
Fernando PradosServicio de Atención Médica Urgente (SAMUR)-Protección Civil, Madrid, Spain.
Alonso MateosServicio de Urgencia Médica de Madrid (SUMMA 112), Madrid, Spain.
José HerreroNephrology Department, Hospital Clínico San Carlos, Universidad Complutense de Madrid, C/Profesor Martín Lagos s/n, Madrid, 28040, Spain.
Francisco del RíoTransplant Coordination Unit, Hospital Clínico San Carlos, Medicine Department, School of Medicine, Universidad Complutense de Madrid, C/Profesor Martín Lagos s/n, Madrid, 28040, Spain.
Alberto BarrientosNephrology Department, Hospital Clínico San Carlos, Universidad Complutense de Madrid, C/Profesor Martín Lagos s/n, Madrid, 28040, Spain. dr.albertobarrientos@gmail.com.
Universidad Complutense de Madrid · ESInstituto de Investigación Sanitaria del Hospital Clínico San Carlos · ESHospital Clínico San Carlos · ESHealth and Environmental Sciences Institute · USMadrid Health Service · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsKidneys from uncontrolled non heart-beating donors achieve a good level of renal function after transplantation. However, a number of them will never function in the recipient. Our aim was to determine if serum biomarkers associated with platelet activity, inflammation and the nitric oxide system in uncontrolled non heart-beating donors may help to predict no renal function recovery after renal transplantation.

methodsSerum levels of interleukin (IL)-6, IL-10, intercellular cell adhesion molecule-1 (ICAM-1), cyclic guanosine monophosphate (cGMP), nitrite + nitrate and platelet factor-4 (PF4) were measured using enzyme-linked immunosorbent assay (ELISA) kits in 88 uncontrolled non heart-beating donors divided according to the renal functionality achieved in the recipients into functional (n = 76) and non functional (n = 12).

resultsKidneys from donors with higher IL-6 levels (>900 pg/ml) were functional after transplantation. Serum cGMP levels below 372.3 fmol/l were also associated with kidneys that recovered the renal function. However, serum levels of PF4 showed the best correlation with recovery of renal functional in the recipients since they were significantly lower in the donors whose kidneys functioned after transplantation.

conclusionsSerum PF4 levels in uncontrolled non heart-beating donors may be a good predictor for kidneys that never will reach functional recovery. Some serum cGMP, IL-6 and IL-10 levels may simply help identify kidneys that will function after transplantation.

Indexed as

Donor SelectionTissue DonorsBiomarkersCause of DeathCyclic GMPEnzyme-Linked Immunosorbent AssayFemaleHumansInterleukin-10Interleukin-6Kidney Function TestsKidney TransplantationMaleMiddle AgedPlatelet Factor 4Predictive Value of TestsBiomarkersCyclic GMPIL10 protein, humanIL6 protein, humanInterleukin-10Interleukin-6Platelet Factor 4InflammationNon-heart beating donorsPlatelet factor-4Serum biomarkers

Identifiers

PMID25971849
OpenAlexW258697879

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.