Evidence map›Paper›PMID 36590196›Full record

ArticleIndian journal of anaesthesia2022

Overview of statistical methods usage in Indian anaesthesia publications.

Asha Tyagi, Devansh Garg, Aparna Mohan, Rashmi Salhotra, Ishita Vashisth, Ananya Agrawal, Sanika Deshpande, Sonali Deep, Sacchidananda Das, Rajeev K Malhotra and 2 more

Abstract read
In one paragraph

Article in Indian journal of anaesthesia, 2022. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Indian journal of anaesthesia · 2023
    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

12 authors.

Asha TyagiDepartment of Anaesthesiology and Critical Care, University College of Medical Sciences and GTB Hospital, Delhi, India.
Devansh GargDepartment of Anaesthesiology and Critical Care, University College of Medical Sciences and GTB Hospital, Delhi, India.
Aparna MohanDepartment of Anaesthesiology and Critical Care, University College of Medical Sciences and GTB Hospital, Delhi, India.
Rashmi SalhotraDepartment of Anaesthesiology and Critical Care, University College of Medical Sciences and GTB Hospital, Delhi, India.
Ishita VashisthHamdard Institute of Medical Sciences and Research, New Delhi, India.
Ananya AgrawalVardhman Mahavir Medical College, New Delhi, India.
Sanika DeshpandeVardhman Mahavir Medical College, New Delhi, India.
Sonali DeepDepartment of Anaesthesiology and Critical Care, University College of Medical Sciences and GTB Hospital, Delhi, India.
Sacchidananda DasDepartment of Anaesthesiology and Critical Care, University College of Medical Sciences and GTB Hospital, Delhi, India.
Rajeev K MalhotraDelhi Cancer Registry, Dr BRAIRCH, All India Institute of Medical Sciences, Delhi, India.
Rajeev PradhanDepartment of Anaesthesiology and Critical Care, Metas of Seven Day Multi Speciality Hospital, Surat, Gujarat, India.
Aparajita PandaDepartment of Anaesthesiology and Critical Care, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Despite the importance of statistics being well established for medical research, it remains a neglected area of understanding and learning. The present survey aimed to examine the use of various statistical methods in a two-year sample (2019-2020) of representative Indian anaesthesia journals and compare it with an international top-ranked journal. Methods: The literature survey included analysis of 748 original articles from 'Indian Journal of Anaesthesia' (179), 'Journal of Anaesthesiology Clinical Pharmacology' (125) and 'Anesthesia & Analgesia' (444) published over the period. Original research articles were identified from the table of contents of each issue. Articles were assessed for statistical methods, categorised as being descriptive, elementary, multivariable, advanced multivariate or diagnostic/classification. Results: Compared to Anesthesia & Analgesia, the Indian journals (considered together) had a significantly greater use of mean (standard deviation) (91.2% versus 70%) and percentages (79.5% versus 67.6%) (P = 0.000 each); and lesser for Wilcoxon (5.4% versus 14.6%) and Pearson/Spearman (5.1% versus 13.5%) correlation tests (P = 0.000 each), multivariable tests including various regression methods (P < 0.001), classification/diagnostic tests [Receiver operating characteristic (ROC) curve analysis, P = 0.022; sensitivity/specificity, P = 0.000; precision, Conclusion: The findings show limited use of advanced complex statistical methods in Indian anaesthesia journals, usually being restricted to descriptive or elementary. There was a strong bias towards using randomised controlled designs. The findings suggest an urgent and focussed need on training in research methodology, including statistical methods, during postgraduation and continued medical training.

Indexed as

Anaesthesiaanaesthesiologybiomedical researchresearch designROC curve

Identifiers

PMID36590196
PMCPMC9795494

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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.