Publications by authors named "Aarti Goyal"

5 Publications

  • Page 1 of 1

Development of an EQ-5D Value Set for India Using an Extended Design (DEVINE) Study: The Indian 5-Level Version EQ-5D Value Set.

Value Health 2022 Jul 5;25(7):1218-1226. Epub 2022 Jan 5.

Postgraduate Institute of Medical Education and Research, Chandigarh, India.

Objectives: This study aimed to develop the Indian 5-level version EQ-5D (EQ-5D-5L) value set, which is a key input in health technology assessment for resource allocation in healthcare.

Methods: A cross-sectional survey using the EuroQol Group's Valuation Technology was undertaken in a representative sample of 3548 adult respondents, selected from 5 different states of India using a multistage stratified random sampling technique. The participants were interviewed using a computer-assisted personal interviewing technique. This study adopted a novel extended EuroQol Group's Valuation Technology design that included 18 blocks of 10 composite time trade-off (c-TTO) tasks, comprising 150 unique health states, and 36 blocks of 7 discrete choice experiment (DCE) tasks, comprising 252 DCE pairs. Different models were explored for their predictive performance. Hybrid modeling approach using both c-TTO and DCE data was used to estimate the value set.

Results: A total of 2409 interviews were included in the analysis. The hybrid heteroscedastic model with censoring atĀ -1 combining c-TTO and DCE data yielded the most consistent results and was used for the generation of the value set. The predicted values for all 3125 health states ranged fromĀ -0.923 to 1. The preference values were most affected by the pain/discomfort dimension.

Conclusions: This is the largest EQ-5D-5L valuation study conducted so far in the world. The Indian EQ-5D-5L value set will promote the effective conduct of health technology assessment studies in India, thereby generating credible evidence for efficient resource use in healthcare.
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http://dx.doi.org/10.1016/j.jval.2021.11.1370DOI Listing
July 2022

Fun30 and Rtt109 Mediate Epigenetic Regulation of the DNA Damage Response Pathway in .

J Fungi (Basel) 2022 May 25;8(6). Epub 2022 May 25.

Chromatin Remodelling Laboratory, School of Life Sciences, Jawaharlal Nehru University, New Delhi 110067, India.

Fun30, an ATP-dependent chromatin remodeler from , is known to mediate both regulation of gene expression as well as DNA damage response/repair. The Fun30 from has not yet been elucidated. We show that Fun30 is functionally homologous to both Fun30 and human SMARCAD1. Further, Fun30 can mediate double-strand break end resection as well as regulate gene expression. This protein regulates transcription of , , , and -genes that encode for proteins involved in DNA damage response and repair pathways. The regulation mediated by Fun30 is dependent on its ATPase activity. The expression of , in turn, is regulated by histone H3K56 acetylation catalyzed by Rtt109 and encoded by . The / mutant strain shows sensitivity to oxidative stress and resistance to MMS as compared to the wild-type strain. Quantitative PCR showed that the sensitivity to oxidative stress results from downregulation of , , , and expression; ChIP experiments showed that Fun30 but not H3K56ac regulates the expression of these genes in response to oxidative stress. In contrast, upon treatment with MMS, the expression of is upregulated, which is modulated by both Fun30 and H3K56 acetylation. Thus, Fun30 and H3K56 acetylation mediate the response to genotoxic agents in by regulating the expression of DNA damage response and repair pathway genes.
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http://dx.doi.org/10.3390/jof8060559DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225650PMC
May 2022

Combatting the imbalance of sex ratio at birth: medium-term impact of India's National Programme of Beti Bachao Beti Padhao in the Haryana State of India.

Health Policy Plan 2021 Nov;36(10):1499-1507

Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh 160012, India.

The Government of India initiated the Beti Bachao Beti Padhao (B3P) programme in 2015 as a flagship initiative to reduce gender imbalance in sex ratio at birth (SRB) and to ensure social protection of girls. The present study was conducted to evaluate the medium-term impact of B3P implementation in Haryana state, from 2015 to 2019, on SRB. Monthly data on SRB were collected for the entire state of Haryana through a civil registration system. Segmented time series regression analysis was used to estimate the variations in SRB after the B3P programme with the help of Winter's additive interrupted time series model. The SRB in Haryana increased from 876 girls per 1000 boys in 2015 to 923 in 2019. The results of the model demonstrated that before the inception of intervention (pre-slope), there was a significant monthly change in SRB of 0.217 (95% confidence interval: 0.144-0.290). Following the B3P programme, SRB was found to increase by 0.835 per month, which implied that an increase of 0.618 (confidence interval: 0.338, 0.898) every month in SRB can be attributed to the B3P programme. This indicated that SRB for the state of Haryana increased at the rate of 7.42 units per year as a result of the B3P programme. B3P has led to a significant improvement in SRB in Haryana state. The continuity of efforts in the same direction with a sustained focus on behaviour change will further help achieve the goal of gender parity in births and child survival.
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http://dx.doi.org/10.1093/heapol/czab111DOI Listing
November 2021

Effect of COVID-19 on Access to Cancer Care in India.

South Asian J Cancer 2021 Jan 2;10(1):46-47. Epub 2021 Sep 2.

Department of Radiation Oncology, Government Medical College and Hospital, Chandigarh, Punjab, India.

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http://dx.doi.org/10.1055/s-0041-1733313DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8413017PMC
January 2021

Patch-Based Dual-Tree Complex Wavelet Transform for Kinship Recognition.

IEEE Trans Image Process 2021 18;30:191-206. Epub 2020 Nov 18.

Kinship recognition is a prominent research aiming to find if kinship relation exists between two different individuals. In general, child closely resembles his/her parents more than others based on facial similarities. These similarities are due to genetically inherited facial features that a child shares with his/her parents. Most existing researches in kinship recognition focus on full facial images to find these kinship similarities. This paper first presents kinship recognition for similar full facial images using proposed Global-based dual-tree complex wavelet transform (G-DTCWT). We then present novel patch-based kinship recognition methods based on dual-tree complex wavelet transform (DT-CWT): Local Patch-based DT-CWT (LP-DTCWT) and Selective Patch-Based DT-CWT (SP-DTCWT). LP-DTCWT extracts coefficients for smaller facial patches for kinship recognition. SP-DTCWT is an extension to LP-DTCWT and extracts coefficients only for representative patches with similarity scores above a normalized cumulative threshold. This threshold is computed by a novel patch selection process. These representative patches contribute more similarities in parent/child image pairs and improve kinship accuracy. Proposed methods are extensively evaluated on different publicly available kinship datasets to validate kinship accuracy. Experimental results showcase efficacy of proposed methods on all kinship datasets. SP-DTCWT achieves competitive accuracy to state-of-the-art methods. Mean kinship accuracy of SP-DTCWT is 95.85% on baseline KinFaceW-I and 95.30% on KinFaceW-II datasets. Further, SP-DTCWT achieves the state-of-the-art accuracy of 80.49% on the largest kinship dataset, Families In the Wild (FIW).
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http://dx.doi.org/10.1109/TIP.2020.3034027DOI Listing
May 2021
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