Evidence map›Paper›PMID 38223250›Full record

ArticleAnnals of gastroenterology

Novel predictors of response to therapy with terlipressin and albumin in hepatorenal syndrome-acute kidney injury.

Vijay Narayanan, Krishnadas Devadas, Srijaya Sreesh, Jijo Varghese, Rushil Solanki, Shivabrata Dhal Mohapatra, Ravindra Pal, Devika Madhu, Avisek Chakravorty

Open access · diamondAbstract read
In one paragraph

Article in Annals of gastroenterology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Use of Terlipressin in Liver Transplant Candidates.Gastroenterology & hepatology · 2025
    Article
  4. 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

9 authors at 1 institution in 1 country.

Vijay NarayananDepartment of Medical Gastroenterology, Government Medical College, Thiruvananthapuram, Kerala, India (Vijay Narayanan, Krishnadas Devadas, Srijaya Sreesh, Jijo Varghese, Rushil Solanki, Shivabrata Dhal Mohapatra, Ravindra Pal, Devika Madhu, Avisek Chakravorty).
Krishnadas DevadasDepartment of Medical Gastroenterology, Government Medical College, Thiruvananthapuram, Kerala, India (Vijay Narayanan, Krishnadas Devadas, Srijaya Sreesh, Jijo Varghese, Rushil Solanki, Shivabrata Dhal Mohapatra, Ravindra Pal, Devika Madhu, Avisek Chakravorty).
Srijaya SreeshDepartment of Medical Gastroenterology, Government Medical College, Thiruvananthapuram, Kerala, India (Vijay Narayanan, Krishnadas Devadas, Srijaya Sreesh, Jijo Varghese, Rushil Solanki, Shivabrata Dhal Mohapatra, Ravindra Pal, Devika Madhu, Avisek Chakravorty).
Jijo VargheseDepartment of Medical Gastroenterology, Government Medical College, Thiruvananthapuram, Kerala, India (Vijay Narayanan, Krishnadas Devadas, Srijaya Sreesh, Jijo Varghese, Rushil Solanki, Shivabrata Dhal Mohapatra, Ravindra Pal, Devika Madhu, Avisek Chakravorty).
Rushil SolankiDepartment of Medical Gastroenterology, Government Medical College, Thiruvananthapuram, Kerala, India (Vijay Narayanan, Krishnadas Devadas, Srijaya Sreesh, Jijo Varghese, Rushil Solanki, Shivabrata Dhal Mohapatra, Ravindra Pal, Devika Madhu, Avisek Chakravorty).
Shivabrata Dhal MohapatraDepartment of Medical Gastroenterology, Government Medical College, Thiruvananthapuram, Kerala, India (Vijay Narayanan, Krishnadas Devadas, Srijaya Sreesh, Jijo Varghese, Rushil Solanki, Shivabrata Dhal Mohapatra, Ravindra Pal, Devika Madhu, Avisek Chakravorty).
Ravindra PalDepartment of Medical Gastroenterology, Government Medical College, Thiruvananthapuram, Kerala, India (Vijay Narayanan, Krishnadas Devadas, Srijaya Sreesh, Jijo Varghese, Rushil Solanki, Shivabrata Dhal Mohapatra, Ravindra Pal, Devika Madhu, Avisek Chakravorty).
Devika MadhuDepartment of Medical Gastroenterology, Government Medical College, Thiruvananthapuram, Kerala, India (Vijay Narayanan, Krishnadas Devadas, Srijaya Sreesh, Jijo Varghese, Rushil Solanki, Shivabrata Dhal Mohapatra, Ravindra Pal, Devika Madhu, Avisek Chakravorty).
Avisek ChakravortyDepartment of Medical Gastroenterology, Government Medical College, Thiruvananthapuram, Kerala, India (Vijay Narayanan, Krishnadas Devadas, Srijaya Sreesh, Jijo Varghese, Rushil Solanki, Shivabrata Dhal Mohapatra, Ravindra Pal, Devika Madhu, Avisek Chakravorty).
Government Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A combination of terlipressin and albumin is the first-line pharmacologic treatment for hepatorenal syndrome-acute kidney injury (HRS-AKI). We assessed the response rates to terlipressin-albumin therapy in patients with HRS-AKI and determined early predictors of treatment response and survival. Methods: A total of 84 patients with HRS-AKI (International Club of Ascites definition 2015) treated with terlipressin-albumin were included. Predictors of HRS reversal were identified by logistic regression analysis. Survival analysis was performed using the Kaplan-Meier method, and Cox regression models were used to determine independent predictors of mortality. Results: Complete response to therapy was observed in 54.8%, partial response in 14.3%, and no response in 31% of patients. The factors associated with complete treatment response were the presence of systemic inflammatory response syndrome (SIRS), baseline serum creatinine, a rise in mean arterial pressure by day 3, and a reduction in the renal resistive index (ΔRRI) by day 3 of treatment. Independent predictors of HRS reversal were the presence of SIRS at baseline (P=0.022; odds ratio [OR] 15.74, 95% confidence interval [CI] 1.47-167.82) and ΔRRI ≥5% by day 3 of treatment (P=0.048; OR 6.67, 95%CI 1.021-43.62). Mean transplant-free survival at 6 months was significantly better in treatment responders (148 vs. 90 days, P<0.001). Independent predictors of 6-month mortality were response to treatment (P=0.004) and model for end-stage liver disease-sodium >23 (P=0.018). Conclusions: SIRS and ΔRRI are simple parameters to predict treatment response in HRS-AKI. Non-responders have higher mortality and should be identified early to expedite liver transplantation.

Indexed as

Acute kidney injuryhepatorenal syndromerenal resistive indexsystemic inflammatory response syndrometerlipressin

Identifiers

PMID38223250
PMCPMC10785019
OpenAlexW4390516502

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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Registered trials

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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.