The Indian Journal of Medical Research (INDIAN J MED RES)

Publisher: Indian Council of Medical Research, Medknow Publications

Journal description

The Indian Journal of Medical Research (IJMR) is one of the oldest medical Journals not only in India, but probably in Asia, as it started in the year 1913. The Journal was started as a quarterly (4 issues/year) in 1913 and made bimonthly (6 issues/year) in 1958. It was made monthly (12 issues/year) in the year 1964. The Journal is being indexed and abstracted by all major global current awareness and alerting services (Annexure). The Indian Journal of Medical Research is published monthly, in two volumes and 12 issues per year. The IJMR publishes peer reviewed quality biomedical research in the form of original research articles, review articles, short papers and short notes. Special issues and supplements are published in addition to the regular issues.

Current impact factor: 1.66

Impact Factor Rankings

2015 Impact Factor Available summer 2015
2013 / 2014 Impact Factor 1.661
2012 Impact Factor 2.061
2011 Impact Factor 1.837
2010 Impact Factor 1.826
2009 Impact Factor 1.516
2008 Impact Factor 1.883
2007 Impact Factor 1.67
2006 Impact Factor 1.224
2005 Impact Factor 0.869
2004 Impact Factor 0.6
2003 Impact Factor 0.452
2002 Impact Factor 0.445
2001 Impact Factor 0.34
2000 Impact Factor 0.383
1999 Impact Factor 0.365
1998 Impact Factor 0.4
1997 Impact Factor 0.318
1996 Impact Factor 0.251
1995 Impact Factor 0.198

Impact factor over time

Impact factor
Year

Additional details

5-year impact 2.31
Cited half-life 6.50
Immediacy index 0.33
Eigenfactor 0.01
Article influence 0.58
Website Indian Journal of Medical Research website
Other titles Indian journal of medical research (New Delhi, India: 1994)
ISSN 0971-5916
OCLC 59369085
Material type Periodical, Internet resource
Document type Internet Resource, Journal / Magazine / Newspaper

Publisher details

Medknow Publications

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Non-commercial
    • Publisher's version/PDF may be used
    • Creative Commons Attribution Non-Commercial Share Alike License
    • Published source must be acknowledged
    • All titles are open access journals
  • Classification
    ​ green

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Background & objectives: An increase in prevalence of hypertension has been observed in all ethnic groups in India. The objective of the present study was to estimate prevalence and determinants of hypertension among tribals and their awareness, treatment practices and risk behaviours in nine States of India. Methods: A community based cross-sectional study adopting multistage random sampling procedure was carried out. About 120 Integrated Tribal Development Authority villages were selected randomly from each State. From each village, 40 households were covered randomly. All men and women ≥ 20 yr of age in the selected households were included for various investigations. Results: A total of 21141 men and 26260 women participated in the study. The prevalence of hypertension after age adjustment was 27.1 and 26.4 per cent among men and women, respectively. it was higher in the states of Odisha (50-54.4%) and Kerala (36.7-45%) and lowest in Gujarat (7-11.5%). The risk of hypertension was 6-8 times higher in elderly people and 2-3 times in 35-59 yr compared with 20-34 yr. Only <10 per cent of men and women were known hypertensives and more than half on treatment (55-68%). Men with general and abdominal obesity were at 1.69 (CI: 1.43-2.01) and 2.42 (CI: 2.01-2.91) times higher risk of hypertension, respectively, while it was 2.03 (CI=1.77-2.33) and 2.35 (CI 2.12-2.60) times higher in women. Those using tobacco and consuming alcohol were at a higher risk of hypertension compared with the non users. Interpretation & conclusions: The study revealed high prevalence of hypertension among tribals in India. Age, literacy, physical activity, consumption of tobacco, alcohol and obesity were significantly associated with hypertension. Awareness and knowledge about hypertension and health seeking behaviour were low. Appropriate intervention strategies need to be adopted to increase awareness and treatment practices of hypertension among tribals.
    The Indian Journal of Medical Research 05/2015;
  • [Show abstract] [Hide abstract]
    ABSTRACT: Background & objectives: Severe Acute Respiratory Infections (SARI) are one of the leading causes of death among children worldwide. As different respiratory viruses exhibit similar symptoms, simultaneous detection of these viruses in a single reaction mixture can save time and cost. Present study was done in a tertiary care children's hospital for rapid identification of viruses causing SARI among children ≤ 5 years of age using multiplex real time PCR kit. Methods: Throat swabs were collected and processed for extraction of nucleic acid using automated extraction system and multiplex real time RT-PCR done using Fast Track Diagnostics Respiratory pathogens 21 kit taking three hours to process and report a sample. Results: The overall positivity for viruses in the study was found to be 72.90% with a co-infection rate of 19.46%. Human Metapneumovirus (HMPV) was the predominant virus detected in 25.74% children followed by Influenza A(H1N1)pdm09, Human Rhinovirus (HRV) and Human Adenovirus (HAdV) in 19.85%, 11.03%, 8.82% children respectively. The HMPV was at its peak in the month of February, 2013, HAdV showed two peaks in March – April, 2012 and November, 2012 – March, 2013 while HRV was detected throughout the year. Interpretations & conclusions: Multiplex real time PCR helped in rapid identification of viruses. Seventeen viruses were detected in SARI cases with overall positivity of 72.9%, HMPV was the most predominant one. However for better clinico virological correlation, studies are required with complete work up of all the etiological agents, clinical profile of patients and treatment outcome.
    The Indian Journal of Medical Research 05/2015; Accepted.
  • The Indian Journal of Medical Research 04/2015; 141(February 2015):242-244.
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    ABSTRACT: Tuberculosis (TB) is a common infection in patients on haemodialysis. There is a definite role of treatment of latent TB (LTB) in these patients. However, diagnosis of LTB in these patients by tuberculin skin test (TST) is unreliable. There is suggestion that interferon gamma release assay (IGRA) will be more reliable test for diagnosis of LTB in this setting. Thus, we evaluated value of IGRA and TST for the diagnosis of LTB in patients on dialysis in an Indian setting. Patients with end stage kidney disease on dialysis were included. Patients with active TB were excluded. Each patient was subjected to TST (induration of ≥10 mm was taken as positive) and QuantiFERON TB Gold In-Tube test (QFT-GIT) for diagnosis of LTB. A total of 185 patients were included; 129 (69.7%) were males and mean age was 36.7 ± 12.3 yr. Past history of TB was present in 18 (9.7%) patients. One hundred and thirty four (72.4%) patients had scar of BCG vaccination. QFT-GIT test was positive in 66 (36%), TST in 32 (17%) and both in 13 (7%) patients. Of the 66 patients positive with QFT-GIT, only 13 (19.6%) were positive for TST. Of the 32 patients positive with TST, only 13 (40.6%) were positive with QFT-GIT; 100 (54%) patients were negative for both the tests. Overall, 85 (45.9%) patients were positive for either of the two tests. Poor agreement was shown between the two methods. On logistic regression analysis, odds of QFT-GIT to be positive in patients with BCG vaccination was 1.23 and with history of TB 0.99, both being insignificant. odds of tuberculin skin test to be positive in patients with BCG vaccination was 1.04 and with history of TB 0.99, both again being insignificant. Our findings showed that more number of patients (36%) on haemodialysis were positive for QuantiFERON Gold In-Tube test as compared to TST (17%). There was poor agreement between the two tests. No significant effect of BCG vaccination and history of TB in past was observed on both tests.
    The Indian Journal of Medical Research 04/2015; 141(4):463-8. DOI:10.4103/0971-5916.159297
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    ABSTRACT: Type 2 diabetes mellitus (T2DM) is considered to be a protective factor against development of osteoporosis. But oral hypoglycaemic agents (OHA) are likely to increase the risk of osteoporosis. This study was carried out to evaluate the effect of various OHA on bone mineral density (BMD) in patients with T2DM. Forty one patients (study group) with T2DM (mean age 51.9±5.5 yr; 31 females) receiving treatment with oral hypoglycaemic agents (OHA) [thiazolidinediones alone (n=14) or in combination with other OHA (n=27)] for a period of at least three consecutive years and 41 age- and gender-matched healthy controls (mean age 51.4±5.1 yr) were included in the study. A detailed clinical history was taken and all were subjected to physical examination and recording of anthropometric data. BMD was assessed for both patients and controls. The mean body mass index (kg/m [2] ) (26.5±4.90 vs 27.3 ±5.33) and median [inter-quartile range (IQR)] duration of menopause (yr) among women [6(2-12) vs 6(1-13)] were comparable between both groups. The bone mineral density (BMD; g/cm [2] ) at the level of neck of femur (NOF) (0.761±0.112 vs 0.762±0.110), lumbar spine antero-posterior view (LSAP) (0.849±0.127 vs 0.854±0.135); median Z-score NOF {0.100[(-0.850)-(0.550)] vs -0.200[(-0.800)-(0.600)]}, LSAP {-1.200[(-1.700)-(-0.200)] vs -1.300 [(-1.85)-(-0.400)]} were also similar in study and control groups. Presence of normal BMD (9/41 vs 8/41), osteopenia (16/41 vs 18/41) and osteoporosis (16/41 vs 15/41) were comparable between the study and control groups. No significant difference was observed in the BMD, T-scores and Z-scores at NOF and LSAP among T2DM patients treated with thiazolidinediones; those treated with other OHA and controls. The present findings show that the use of OHA for a period of three years or more does not significantly affect the BMD in patients with T2DM.
    The Indian Journal of Medical Research 04/2015; 141(4):431-7. DOI:10.4103/0971-5916.159287
  • The Indian Journal of Medical Research 04/2015; 141:377-379.
  • The Indian Journal of Medical Research 04/2015; 141(4):385-8. DOI:10.4103/0971-5916.159244
  • The Indian Journal of Medical Research 04/2015; 141(4):380-2. DOI:10.4103/0971-5916.159237