Evidence map›Paper›PMID 36785658›Full record

ReviewACS measurement science au2022

MALDI-TOF Mass Spectrometry in Clinical Analysis and Research.

Dandan Li, Jia Yi, Guobin Han, Liang Qiao

Abstract readReview
In one paragraph

Review in ACS measurement science au, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
–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

62 citing papers in PubMed.

  1. Review
  2. Article
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  6. Review
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  9. AlRSC advances · 2026
    Article
  10. Article
  11. Review
  12. The Fires of Isengard Have Spread:Pathogens (Basel, Switzerland) · 2026
    Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. Review
  20. Article

2 more citing papers are in PubMed but not listed here.

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.

Dandan LiDepartment of Chemistry and Shanghai Stomatological Hospital, Fudan University, Shanghai 200000, China.ORCID https://orcid.org/0000-0003-1495-4297
Jia YiDepartment of Chemistry and Shanghai Stomatological Hospital, Fudan University, Shanghai 200000, China.
Guobin HanDepartment of Chemistry and Shanghai Stomatological Hospital, Fudan University, Shanghai 200000, China.
Liang QiaoDepartment of Chemistry and Shanghai Stomatological Hospital, Fudan University, Shanghai 200000, China.ORCID https://orcid.org/0000-0002-6233-8459

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the decade after being awarded the Nobel Prize in Chemistry in 2002, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been widely used as an analytical chemistry tool for the detection of large and small molecules (e.g., polymers, proteins, peptides, nucleic acids, amino acids, lipids, etc.) and for clinical analysis and research (e.g., pathogen identification, genetic disorders screening, cancer diagnosis, etc.). In view of the fast development of MALDI-TOF MS in clinical usage, this review systematically summarizes the most important applications of MALDI-TOF MS in clinical analysis and research by analyzing MALDI TOF MS-related reviews collected in the Web of Science database. On the basis of the analysis of keyword co-occurrence of over 2000 review articles, four themes consisting of "pathogen identification", "disease diagnosis", "nucleic acids analysis", and "small molecules analysis" were found. For each theme, the review further outlined their application implications, analytical methods, and systems as well as limitations that need to be addressed. Overall, the review summarizes and elaborates on the clinical applications of MALDI-TOF MS, providing a comprehensive picture for researchers embarking on MALDI TOF MS-related clinical analysis and research.

Identifiers

PMID36785658
PMCPMC9885950

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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.