Evidence map›Paper›PMID 28574019›Full record

ArticleThe Indian journal of medical research2017

K time & maximum amplitude of thromboelastogram predict post-central venous cannulation bleeding in patients with cirrhosis: A pilot study.

Chandra K Pandey, Vandana Saluja, Kumar Gaurav, Manish Tandon, Vijay K Pandey, Ajeet S Bhadoria

Open access · diamondAbstract read
In one paragraph

Article in The Indian journal of medical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Review
  3. Bleeding Risk of Central Venous Catheterization in Adults: A Systematic Review and Meta-analysis.TH open : companion journal to thrombosis and haemostasis · 2025
    Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Clinical Implications of Thrombocytopenia for the Cirrhotic Patient.Hepatic medicine : evidence and research · 2020
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Comparison of Thromboelastography and Conventional Coagulation Tests in Patients With Severe Liver Disease.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

6 authors at 1 institution in 1 country.

Chandra K PandeyDepartment of Anaesthesia & Critical Care, Institute of Liver & Biliary Sciences, New Delhi, India.
Vandana SalujaDepartment of Anaesthesia & Critical Care, Institute of Liver & Biliary Sciences, New Delhi, India.
Kumar GauravDepartment of Anaesthesia & Critical Care, Institute of Liver & Biliary Sciences, New Delhi, India.
Manish TandonDepartment of Anaesthesia & Critical Care, Institute of Liver & Biliary Sciences, New Delhi, India.
Vijay K PandeyDepartment of Anaesthesia & Critical Care, Institute of Liver & Biliary Sciences, New Delhi, India.
Ajeet S BhadoriaDepartment of Hepatology, Institute of Liver & Biliary Sciences, New Delhi, India.
Institute of Liver and Biliary Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

objectivesCoagulation and haemostasis are dynamic processes. The haemostatic changes in liver disease affect all aspects of coagulation. The prothrombin time (PT)/ international normalized ratio (INR) was developed to monitor oral anticoagulant therapy and the activated partial thromboplastin time to investigate inheritable single factor deficiencies. Viscoelastic tests such as thromboelastogram (TEG) give information about dynamics of clot formation (coagulation factor and anticoagulant activity), clot strength (platelets and fibrinogen) and clot stability (finbrinolysis and factor XIII). Administration of blood products before invasive procedures is still guided by INR and platelet count in patients of liver disease. This study was aimed to evaluate the validity of TEG to predict post-procedural bleed after central venous cannulation in patients with cirrhosis.

methodsNinety patients aged 20-70 yr diagnosed with liver cirrhosis requiring elective central venous catheter (CVC) insertion were studied. Platelet count, INR, serum creatinine, TEG and Child-Turcotte-Pugh (CTP) score were recorded before the procedure. Right-sided internal jugular vein was cannulated. On the basis of presence or absence of post-procedural bleed, patients were divided into bleeding and non-bleeding groups. The CTP score, component of TEG (R - reaction time, K - coagulation time, MA - maximum amplitude and α - angle) and laboratory parameters of both the groups were compared.

resultsBleeding was seen more when CTP scores were ≥10 (P=0.05). The K time of 3.05 min or more on thromboelastograph was a significant predictor of bleeding [area under the curve (AUC) 0.694, P=0.047]. MA of 48.8 mm or more was a significant predictor of non-bleeding. INR ≥2.6 was a significant predictor of bleeding (AUC 0.765, P=0.005). K time had a low-positive predictive value of 20 per cent and the positive and negative likelihood ratios of 1.87 and 0.48, respectively. INTERPRETATION &

conclusionsOur results show that the cut-off value for INR ≥2.6 and K time ≥3.05 min predict bleeding and MA ≥48.8 mm predicts non-bleeding in patients with cirrhosis undergoing central venous pressure catheter cannulation.

Indexed as

AdultAgedCatheterizationCentral Venous CathetersFemaleHemorrhageHumansInternational Normalized RatioLiver CirrhosisMaleMiddle AgedPartial Thromboplastin TimePlatelet CountProthrombin TimeThrombelastography

Identifiers

PMID28574019
PMCPMC5460579
OpenAlexW2618181189

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.