Evidence map›Paper›PMID 37981936›Full record

ArticleMedical journal, Armed Forces India

Perioperative management of a severely thrombocytopenic kidney transplant recipient using thromboelastography.

Bir Bal Baj, Vipin Kumar Goyal, Praveenkumar Shekhrajka, Ganesh Ramaji Nimje, Saurabh Mittal

Abstract readCase Reports
In one paragraph

Article in Medical journal, Armed Forces India. 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
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. 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

5 authors.

Bir Bal BajProfessor, Organ Transplant Anaesthesia and Critical Care, Mahatma Gandhi Medical College and Hospital, Jaipur, Rajasthan, India.
Vipin Kumar GoyalProfessor & Head, Organ Transplant Anaesthesia and Critical Care, Mahatma Gandhi Medical College and Hospital, Jaipur, Rajasthan, India.
Praveenkumar ShekhrajkaAssistant Professor (Anaesthesia), Mahatma Gandhi Medical College and Hospital, Jaipur, Rajasthan, India.
Ganesh Ramaji NimjeAssistant Professor, Organ Transplant Anaesthesia and Critical Care, Mahatma Gandhi Medical College and Hospital, Jaipur, Rajasthan, India.
Saurabh MittalSenior Resident, Organ Transplant Anaesthesia and Critical Care, Mahatma Gandhi Medical College and Hospital, Jaipur, Rajasthan, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Perioperative transfusion of blood and blood products can be avoided or reduced with bedside real time monitoring of coagulation in patients at risk. Thromboelastography (TEG), is a point of care coagulation monitor to assess dynamic progress of clot formation. We report a case of 26 years old female patient with end-stage kidney disease (ESKD) who underwent living donor kidney transplantation at our institute. On preoperative work-up, her complete blood count revealed severe thrombocytopenia. Etiology of thrombocytopenia could not be established except past history of hemolysis, elevated liver enzymes, and low platelets syndrome in her last pregnancy. Perioperative transfusion of blood and blood products was guided with TEG and transplant was conducted successfully without any transfusion. In conclusion, severe thrombocytopenia in patients with ESKD enhances the risk of perioperative bleeding and related complications in already compromised coagulation system. Kidney transplant without pre-emptive transfusion could be possible with perioperative use of TEG.

Indexed as

Blood transfusionEnd-stage kidney diseaseKidney transplantationThrombocytopeniaThromboelastography

Identifiers

PMID37981936
PMCPMC10654360

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.