Evidence map›Paper›PMID 32893278›Full record

ArticleSaudi medical journal2020

The clinical outcome of HIV infection at a tertiary care center in Riyadh, Saudi Arabia.

Abeer M Baadani, Sulafa Ballool, Salwa Alhemyadi, Lina Sallam, Eid ALsufyani, Alaa Alghamdi, Wafaa Alfahad

Abstract read
In one paragraph

Article in Saudi medical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. The clinical and epidemiological landscape ofFrontiers in cellular and infection microbiology · 2026
    Pooled it
  2. Article
  3. Article
  4. 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

7 authors.

Abeer M BaadaniDivision of Infectious Diseases, Department of Medicine, Prince Sultan Military Medical City, Riyadh, Kingdom of Saudi Arabia. E-mail. albaadani.id@gmail.com.
Sulafa Ballool
Salwa Alhemyadi
Lina Sallam
Eid ALsufyani
Alaa Alghamdi
Wafaa Alfahad

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate clinical characteristics and the outcome of people living with HIV (PLWHIV) at tertiary care center in Riyadh, Saudi Arabia. Methods: The present retrospective, observational study was carried between 2000-2019 at Prince Sultan Military Medical City (PSMMC), Riyadh, Saudi Arabia. The demographic and clinical characteristics of  137 PLWHIV patients were collected by reviewing the medical data record.  Results: Of the total 137 PLWHIV, 78.8% were male and 21.2% were female. At care entry, the most opportunistic infections found were the cytomegalovirus infections. cytomegalovirus (CMV) infections in 13.8% of patients, tuberculosis  (8%), AIDS associated malignancy (10.9%), hepatitis B (5.8%), NTM (3.6%), hepatitis C (2.2%). In the present study, more than half of the patients received integrase based combination therapy. The highest number (n=20) of patients were diagnosed in 2018. Conclusions: Our findings describe the clinical characteristics and outcomes of PLWHIV at a major tertiary referral hospital in Saudi Arabia. The non AIDS related disease is the major cause of death in HIV infected patients. Early diagnosis and initiation of antiretroviral therapy resulted in a significant decrease in morbidity and mortality.

Indexed as

AdolescentAdultAgedAged, 80 and overAIDS-Related Opportunistic InfectionsCohort StudiesCytomegalovirus InfectionsFemaleHIV InfectionsHumansMaleMiddle AgedRetrospective StudiesSaudi ArabiaTertiary Care CentersTreatment Outcome

Identifiers

PMID32893278
PMCPMC7557546

What OpenQuestion holds

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Registered trials

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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.