Evidence map›Paper›PMID 35192642›Full record

ArticlePLoS neglected tropical diseases2022

A simple mortality risk prediction score for viper envenoming in India (VENOMS): A model development and validation study.

Maya Gopalakrishnan, Suman Saurabh, Pramod Sagar, Chanaveerappa Bammigatti, Tarun Kumar Dutta

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Integrated computational investigation ofFrontiers in molecular biosciences · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Capillary leak syndrome due to snakebite in the Amazon: case report.Revista peruana de medicina experimental y salud publica · 2025
    Article
  8. Systemic capillary leak syndrome.Nature reviews. Disease primers · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Review
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 at 4 institutions in 1 country.

Maya GopalakrishnanDepartment of Internal Medicine, All India Institute of Medical Sciences Jodhpur, Rajasthan, India.ORCID 0000-0002-0661-9854
Suman SaurabhDepartment of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Pramod SagarDepartment of Cardiology, Madras Medical Mission, Chennai, Tamil Nadu, India.ORCID 0000-0003-2385-3199
Chanaveerappa BammigattiDepartment of Medicine, Jawaharlal Institute of Medical Education and Research, Puducherry, India.
Tarun Kumar DuttaDepartment of Medicine, Mahatma Gandhi Medical College and Research Institute, Puducherry, India.ORCID 0000-0002-1364-2825
All India Institute of Medical Sciences Jodhpur · INJawaharlal Institute of Post Graduate Medical Education and Research · INMadras Medical Mission · INMahatma Gandhi Medical College and Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSnakebite is a neglected problem with a high mortality in India. There are no simple clinical prognostic tools which can predict mortality in viper envenomings. We aimed to develop and validate a mortality-risk prediction score for patients of viper envenoming from Southern India.

methodsWe used clinical predictors from a prospective cohort of 248 patients with syndromic diagnosis of viper envenoming and had a positive 20-minute whole blood clotting test (WBCT 20) from a tertiary-care hospital in Puducherry, India. We applied multivariable logistic regression with backward elimination approach. External validation of this score was done among 140 patients from the same centre and its performance was assessed with concordance statistic and calibration plots.

findingsThe final model termed VENOMS from the term "Viper ENvenOming Mortality Score included 7 admission clinical parameters (recorded in the first 48 hours after bite): presence of overt bleeding manifestations, presence of capillary leak syndrome, haemoglobin <10 g/dL, bite to antivenom administration time > 6.5 h, systolic blood pressure < 100 mm Hg, urine output <20 mL/h in 24 h and female gender. The lowest possible VENOMS score of 0 predicted an in-hospital mortality risk of 0.06% while highest score of 12 predicted a mortality of 99.1%. The model had a concordance statistic of 0·86 (95% CI 0·79-0·94) in the validation cohort. Calibration plots indicated good agreement of predicted and observed outcomes.

conclusionsThe VENOMS score is a good predictor of the mortality in viper envenoming in southern India where Russell's viper envenoming burden is high. The score may have potential applications in triaging patients and guiding management after further validation.

Indexed as

DaboiaSnake BitesAnimalsAntiveninsFemaleHumansIndiaProspective StudiesViper VenomsAntiveninsViper Venoms

Identifiers

PMID35192642
PMCPMC8896694
OpenAlexW4213165095

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.