Evidence map›Paper›PMID 32719229›Full record

ArticleThe Indian journal of medical research2020

Findings from the 2017 HIV estimation round & trend analysis of key indicators 2010-2017: Evidence for prioritising HIV/AIDS programme in India.

Damodar Sahu, Pradeep Kumar, Nalini Chandra, Shobini Rajan, D K Shukla, S Venkatesh, Saritha Nair, Anil Kumar, Jitenkumar Singh, Srikanth Reddy and 17 more

Abstract read
In one paragraph

Article in The Indian journal of medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. HIV care policy in India: A review of social security schemes.Journal of family medicine and primary care · 2022
    Review
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  11. Article
  12. 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

27 authors.

Damodar SahuICMR-National Institute of Medical Statistics, Chennai, Tamil Nadu, India.
Pradeep KumarDivision of Strategic lnformation - Surveillance and Epidemiology, National AIDS Control Organisation, Ministry of Health & Family Welfare, Government of India, Chennai, Tamil Nadu, India.
Nalini ChandraJoint United Nations Programme on HIV/AIDS, New Delhi, India.
Shobini RajanDivision of Strategic lnformation - Surveillance and Epidemiology, National AIDS Control Organisation, Ministry of Health & Family Welfare, Government of India, Chennai, Tamil Nadu, India.
D K ShuklaICMR-National Institute of Medical Statistics, Chennai, Tamil Nadu, India.
S VenkateshPrincipal Advisor to Board of Governors, Medical Council of India, New Delhi, India.
Saritha NairICMR-National Institute of Medical Statistics, Chennai, Tamil Nadu, India.
Anil KumarICMR-National Institute of Medical Statistics, Chennai, Tamil Nadu, India.
Jitenkumar SinghICMR-National Institute of Medical Statistics, Chennai, Tamil Nadu, India.
Srikanth ReddyICMR-National Institute of Medical Statistics, Chennai, Tamil Nadu, India.
Sheela GodboleICMR-National AIDS Research Institute, Pune, Maharashtra, India.
A ElangovanComputing and Information Sciences, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.
M K SahaDepartment of Virology, ICMR-National Institute of Cholera & Enteric Diseases, Kolkata, West Bengal, India.
Sanjay RaiCentre for Community Medicine, All India Institute of Medical Sciences, Chennai, Tamil Nadu, India.
P V M LakshmiDepartment of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
T GambhirDepartment of Community Medicine, Regional Institute of Medical Sciences, Imphal, Manipur, India.
Savina AmmassariJoint United Nations Programme on HIV/AIDS, New Delhi, India.
Deepika JoshiCentre for Disease Control, New Delhi, India.
Amitabh DasOdisha State AIDS Control Society, Bhubaneswar, Odisha, India.
Poonam BakshiChandigarh State AIDS Control Society, Chandigarh, India.
Sabyasachi ChakrabortyDelhi State AIDS Control Society, Delhi, India.
Amol PalkarMumbai District AIDS Control Society, Maharashtra, India.
S K SinghDepartment of Mathematical Demography and Statistics, International Institute for Population Sciences, Mumbai, India.
D C S ReddyDepartment of Community Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Shashi KantCentre for Community Medicine, All India Institute of Medical Sciences, Chennai, Tamil Nadu, India.
Arvind PandeyICMR-National Institute of Medical Statistics, Chennai, Tamil Nadu, India.
M Vishnu Vardhana RaoICMR-National Institute of Medical Statistics, Chennai, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives: The National AIDS Control Organisation (NACO) and the ICMR-National Institute of Medical Statistics, the nodal agency for conducting HIV estimations in India, have been generating HIV estimates regularly since 2003. The objective of this study was to describe India's biennial HIV estimation 2017 process, data inputs, tool, methodology and epidemiological assumptions used to generate the HIV estimates and trends of key indicators for 2010-2017 at national and State/Union Territory levels. Methods: Demographic Projection (DemProj) and AIDS Impact Modules (AIM) of Spectrum 5.63 software recommended by the United Nations Programme on HIV and AIDS Global Reference Group on HIV Estimates, Modelling and Projections, were used for generating HIV estimations on key indicators. HIV sentinel surveillance, epidemiological and programme data were entered into Estimation Projection Package (EPP), and curve fitting was done using EPP classic model. Finally, calibration was done using the State HIV prevalence of two rounds of National Family Health Survey (NFHS) -3 and -4 and Integrated Biological and Behavioural Surveillance (IBBS), 2014-2015. Results: The national adult prevalence of HIV was estimated to be 0.22 per cent in 2017. Mizoram, Manipur and Nagaland had the highest prevalence over one per cent. An estimated 2.1 million people were living with HIV in 2017, with Maharashtra estimated to have the highest number. Of the 88 thousand annual new HIV infections estimated nationally in 2017, Telangana accounted for the largest share. HIV incidence was found to be higher among key population groups, especially people who inject drugs. The annual AIDS-related deaths were estimated to be 69 thousand nationally. For all indicators, geographic variation in levels and trends between States existed. Interpretation & conclusions: With a slow decline in annual new HIV infections by only 27 per cent from 2010 to 2017 against the national target of 75 per cent by 2020, the national target to end AIDS by 2030 may be missed; although at the sub-national level some States have made better progress to reduce new HIV infection. It calls for reinforcement of HIV prevention, diagnosis and treatment efforts by geographical regions and population groups.

Indexed as

HIV InfectionsSex WorkersAdultFemaleHumansIncidenceIndiaInfectious Disease Transmission, VerticalMalePregnancyPrevalenceAIDS impact moduleAIDS related deathsantiretroviral therapyHIV estimatesHIV prevalencePLHIV

Identifiers

PMID32719229
PMCPMC7602920

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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.