Evidence map›Paper›PMID 34698297›Full record

ArticleTropical medicine and infectious disease2021

Trends of HIV Mortality between 2001 and 2018: An Observational Analysis.

Chinmay Jani, Kripa Patel, Alexander Walker, Harpreet Singh, Omar Al Omari, Conor Crowley, Dominic C Marshall, Richard Goodall, Arashdeep Rupal, Justin D Salciccioli and 1 more

Open access · goldAbstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 26% of its field
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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. [HIV mortality trends in Mexico, 2000-2022].Revista medica del Instituto Mexicano del Seguro Social · 2024
    Article
  3. Review
  4. Article
  5. Observational
  6. Article
  7. Review
  8. 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

11 authors at 7 institutions in 3 countries.

Chinmay JaniDepartment of Medicine, Mount Auburn Hospital/Beth Israel Lahey Health, Cambridge, MA 02138, USA.ORCID 0000-0002-6917-5568
Kripa PatelSmt NHL Municipal Medical College, Ahmedabad 380006, Gujarat, India.
Alexander WalkerDepartment of Medicine, Mount Auburn Hospital/Beth Israel Lahey Health, Cambridge, MA 02138, USA.
Harpreet SinghMedical Data Research Collaborative, London W2 1NY, UK.
Omar Al OmariDepartment of Medicine, Mount Auburn Hospital/Beth Israel Lahey Health, Cambridge, MA 02138, USA.
Conor CrowleyMedical Data Research Collaborative, London W2 1NY, UK.
Dominic C MarshallMedical Data Research Collaborative, London W2 1NY, UK.ORCID 0000-0002-3498-2511
Richard GoodallMedical Data Research Collaborative, London W2 1NY, UK.
Arashdeep RupalDepartment of Medicine, Mount Auburn Hospital/Beth Israel Lahey Health, Cambridge, MA 02138, USA.ORCID 0000-0001-7261-2338
Justin D SalciccioliDepartment of Medicine, Harvard Medical School, Boston, MA 02115, USA.
Joseph ShalhoubMedical Data Research Collaborative, London W2 1NY, UK.ORCID 0000-0003-1011-7440
Mount Auburn Hospital · USHealth Data Research UK · GBBrigham and Women's Hospital · USImperial College Healthcare NHS Trust · GBLahey Hospital and Medical Center · USMedical College of Wisconsin · USSmt. N.H.L. Municipal Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the beginning of the epidemic in the early 1980s, HIV-related illnesses have led to the deaths of over 32.7 million individuals. The objective of this study was to describe current mortality rates for HIV through an observational analysis of HIV mortality data from 2001 to 2018 from the World Health Organization (WHO) Mortality Database. We computed age-standardized death rates (ASDRs) per 100,000 people using the World Standard Population. We plotted trends using locally weighted scatterplot smoothing (LOWESS). Data for females were available for 42 countries. In total, 31/48 (64.60%) and 25/42 (59.52%) countries showed decreases in mortality in males and females, respectively. South Africa had the highest ASDRs for both males (467.7/100,000) and females (391.1/100,000). The lowest mortalities were noted in Egypt for males (0.2/100,000) and in Japan for females (0.01/100,000). Kyrgyzstan had the greatest increase in mortality for males (+6998.6%). Estonia had the greatest increase in mortality for females (+5877.56%). The disparity between Egypt (the lowest) and South Africa (the highest) was 3042-fold for males. Between Japan and South Africa, the disparity was 43,454-fold for females. Although there was a decrease in mortality attributed to HIV among most of the countries studied, a rising trend remained in a number of developing countries.

Indexed as

HIVmortalityWHOworld

Identifiers

PMID34698297
PMCPMC8544718
OpenAlexW3204288718

What OpenQuestion holds

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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.