Evidence map›Paper›PMID 31678982›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2019

Fecal Microbiota Taxonomic Shifts in Chinese Multiple Myeloma Patients Analyzed by Quantitative Polimerase Chain Reaction (QPCR) and 16S rRNA High-Throughput Sequencing.

Bingqing Zhang, Jingli Gu, Junru Liu, Beihui Huang, Juan Li

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. A NovelMicroorganisms · 2026
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Short-Chain Fatty Acid Production by Gut Microbiota Predicts Treatment Response in Multiple Myeloma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Role of the gut microbiota in hematologic cancer.Frontiers in microbiology · 2023
    Review
  20. 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

5 authors at 2 institutions in 1 country.

Bingqing ZhangDepartment of Hematology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China (mainland).
Jingli GuDepartment of Hematology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China (mainland).
Junru LiuDepartment of Hematology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China (mainland).
Beihui HuangDepartment of Hematology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China (mainland).
Juan LiDepartment of Hematology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China (mainland).
The First Affiliated Hospital, Sun Yat-sen University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Increasing evidence has suggested that gut flora play an important role in tumor progression and prognosis. However, the relationship between fecal microbiota and hematologic malignancy requires further investigation. This study aimed to characterize the relationship of the fecal microbial community in multiple myeloma (MM) patients. MATERIAL AND METHODS A total of 40 MM patients and healthy controls (n=17) were retrospectively collected from the First Affiliated Hospital of Sun Yat-sen University between October 2018 and May 2019. The fecal samples were collected for 16S rRNA high-throughput sequencing for the fecal microbial community, as well as diversity and correlation analysis. Furthermore, 21 MM patients and their family members were selected for the matched pair analysis to confirm the fecal microbiota taxonomic changes by qRT-PCR assay. RESULTS Diversity analysis showed that diversity measured by Shannon index was lower in MM patients compared with healthy controls. At the phylum level, higher abundances of Proteobacteria but lower abundances of Actinobacteria were identified in the MM group in comparison with the healthy control group. At the genus level, the proportion of Bacteroides, Faecalibacterium, and Roseburia was significantly higher in the MM group. The matched pair analysis showed that Pseudomonas aeruginosa and Faecalibacterium were significantly more abundant in the MM group. Further analysis on prognostic risk factors revealed that the Faecalibacterium prausnitzii level was significantly correlated with ISS stage. CONCLUSIONS Our study highlights the imbalanced composition and diversity of the gastrointestinal microbiome in MM patients, which could be further used as a potential biomarker for MM risk screening, therapeutic strategies, and prognostic prediction.

Indexed as

AdultAgedBacteriaFecesFemaleGastrointestinal MicrobiomeHigh-Throughput Nucleotide SequencingHumansMaleMicrobiotaMiddle AgedMultiple MyelomaReal-Time Polymerase Chain ReactionRetrospective StudiesRNA, Ribosomal, 16SSequence Analysis, RNARNA, Ribosomal, 16S

Identifiers

PMID31678982
PMCPMC6855177
OpenAlexW2986097141

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.