Evidence map›Paper›PMID 31024914›Full record

ArticleFrontiers in medicine2019

The Quality of Sputum Specimens as a Predictor of Isolated Bacteria From Patients With Lower Respiratory Tract Infections at a Tertiary Referral Hospital, Denpasar, Bali-Indonesia.

Nyoman Sri Budayanti, Kadek Suryawan, Ida Sri Iswari, Dewa Made Sukrama

Abstract read
In one paragraph

Article in Frontiers in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Bridging bench and bedside: translational omics ofEuropean respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  3. Article
  4. Article
  5. [Pre-analytical quality assessment in the microbiology laboratory].Revista medica del Instituto Mexicano del Seguro Social · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. The microbial coinfection in COVID-19.Applied microbiology and biotechnology · 2020
    Review
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

4 authors.

Nyoman Sri BudayantiMicrobiology Department, Faculty of Medicine, Udayana University, Bali, Indonesia.
Kadek SuryawanMicrobiology Department, Faculty of Medicine, Udayana University, Bali, Indonesia.
Ida Sri IswariMicrobiology Department, Faculty of Medicine, Udayana University, Bali, Indonesia.
Dewa Made SukramaMicrobiology Department, Faculty of Medicine, Udayana University, Bali, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sputum quality is crucial in finding infectious bacteria that will be used to guide definitive antibiotic therapy. Errors in reporting isolated bacteria will affect the rate of patients' morbidity, mortality, and increase patient care costs. This study aims to find out the relationship between sputum quality and isolated bacteria at a Tertiary Referral Hospital, Denpasar, Bali-Indonesia. The study was conducted for 6 months in the Sanglah Hospital Clinical Microbiology laboratory. There were 726 sputum specimens examined and categorized based on Murray Washington criteria. After Gram examination, all specimens were inoculated on aerobic culture media. We classified 41.4% of poor-quality sputum specimens, and non-pathogenic bacteria were isolated from 70.2% of that specimen dominated by

Indexed as

antibiotic therapyGram stainingMurray Washingtonnon-pathogenic bacteriaPathogenic bacteriasputum quality

Identifiers

PMID31024914
PMCPMC6459938

What OpenQuestion holds

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LicenceCC BY
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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.