Evidence map›Paper›PMID 35378508›Full record

ArticleThe American journal of tropical medicine and hygiene2022

Preliminary Analysis of Excess Mortality in India During the COVID-19 Pandemic.

Christopher T Leffler, Joseph D Lykins V, Saurav Das, Edward Yang, Sneha Konda

Abstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. The Reasons for Excess Mortality during the COVID-19 Pandemic.The American journal of tropical medicine and hygiene · 2022
    Article
  14. Excess Mortality Is Not Synonymous with COVID-19-Related Deaths.The American journal of tropical medicine and hygiene · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Estimating national excess mortality from subnational data: application to Argentina.Revista panamericana de salud publica = Pan American journal of public health · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Christopher T LefflerDepartment of Ophthalmology, Virginia Commonwealth University, Richmond, Virginia.
Joseph D Lykins VDepartment of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia.
Saurav DasIndependent Investigative Journalist, Pondicherry, India.
Edward YangSchool of Medicine, Virginia Commonwealth University, Richmond, Virginia.
Sneha KondaDepartment of Ophthalmology, Virginia Commonwealth University, Richmond, Virginia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We studied all-cause mortality during the COVID-19 pandemic in 19 Indian states (population 1.27 billion). Excess mortality was calculated by comparison with years 2015 to 2019. The known COVID-19 deaths reported for a state were assumed to be accurate, unless excess mortality data suggested a higher toll. Data from one state were excluded due to anomalies. In several regions, fewer deaths were reported in 2020 than expected. Areas in Andhra Pradesh, Delhi, Haryana, Karnataka, Madhya Pradesh, Tamil Nadu, and West Bengal saw spikes in mortality in Spring 2021. The pandemic-related mortality through August 31, 2021, in 18 Indian states was estimated to be 198.7 per 100,000 population (range 146.1-263.8 per 100,000). If these rates apply nationally, then 2.69 million people (range 1.98 to 3.57 million) may have perished in India as a result of the pandemic by August 31, 2021.

Identifiers

PMID35378508
PMCPMC9128677

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.