Evidence map›Paper›PMID 33066371›Full record

ReviewDiagnostics (Basel, Switzerland)2020

Advantages and Limitations of 16S rRNA Next-Generation Sequencing for Pathogen Identification in the Diagnostic Microbiology Laboratory: Perspectives from a Middle-Income Country.

Nurnabila Syafiqah Muhamad Rizal, Hui-Min Neoh, Ramliza Ramli, Petrick Ramesh A/L K Periyasamy, Alfizah Hanafiah, Muttaqillah Najihan Abdul Samat, Toh Leong Tan, Kon Ken Wong, Sheila Nathan, Sylvia Chieng and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 3% 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

59 citing papers in PubMed, 1 synthesis or guideline pooled it, 120 citations in OpenAlex.

  1. The impact ofFrontiers in cellular and infection microbiology · 2025
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Animals : an open access journal from MDPI · 2026
    Review
  7. Review
  8. Duodenal microbiota profiling and its effects on gastrointestinal tract dysfunction.Frontiers in cellular and infection microbiology · 2026
    Article
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  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
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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

12 authors at 3 institutions in 1 country.

Nurnabila Syafiqah Muhamad RizalUKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia.
Hui-Min NeohUKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia.ORCID 0000-0001-8445-4314
Ramliza RamliDepartment of Medical Microbiology and Immunology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia.
Petrick Ramesh A/L K PeriyasamyDepartment of Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia.
Alfizah HanafiahDepartment of Medical Microbiology and Immunology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia.ORCID 0000-0003-4859-1439
Muttaqillah Najihan Abdul SamatDepartment of Medical Microbiology and Immunology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia.ORCID 0000-0002-5991-7193
Toh Leong TanDepartment of Emergency Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia.ORCID 0000-0002-6771-0141
Kon Ken WongDepartment of Medical Microbiology and Immunology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia.
Sheila NathanDepartment of Biological Sciences & Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Selangor 43600, Malaysia.ORCID 0000-0002-2132-2346
Sylvia ChiengDepartment of Biological Sciences & Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Selangor 43600, Malaysia.ORCID 0000-0002-6521-6641
Seow Hoon SawFaculty of Science, Universiti Tunku Abdul Rahman, Perak 31900, Malaysia.
Bee Yin KhorBioEasy Sdn. Bhd., Selangor 40170, Malaysia.
National University of Malaysia · MYUniversity Kebangsaan Malaysia Medical Centre · MYUniversiti Tunku Abdul Rahman · MY

Funding

Universiti Kebangsaan Malaysia GP-2019-K016842Universiti Kebangsaan Malaysia GUP-2017-003
6 · The paper itself

Abstract

Bacterial culture and biochemical testing (CBtest) have been the cornerstone of pathogen identification in the diagnostic microbiology laboratory. With the advent of Sanger sequencing and later, next-generation sequencing, 16S rRNA next-generation sequencing (16SNGS) has been proposed to be a plausible platform for this purpose. Nevertheless, usage of the 16SNGS platform has both advantages and limitations. In addition, transition from the traditional methods of CBtest to 16SNGS requires procurement of costly equipment, timely and sustainable maintenance of these platforms, specific facility infrastructure and technical expertise. All these factors pose a challenge for middle-income countries, more so for countries in the lower middle-income range. In this review, we describe the basis for CBtest and 16SNGS, and discuss the limitations, challenges, advantages and future potential of using 16SNGS for bacterial pathogen identification in diagnostic microbiology laboratories of middle-income countries.

Indexed as

16S rRNA next-generation sequencingbacterial pathogen identificationculture and biochemical testingdiagnostic microbiologymiddle-income countries

Identifiers

PMID33066371
PMCPMC7602188
OpenAlexW3093073085

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.