Evidence map›Paper›PMID 38098845›Full record

SynthesisFrontiers in medicine2023

The outcome and the risk factors of mucormycosis among patients with hematological diseases: a systematic and meta-analysis.

Meixiao Shen, Juan Wang, Meiqing Lei, Zhiming Wang

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Observational
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  4. Article
  5. Review
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  9. The Contribution of Human Antimicrobial Peptides to Fungi.International journal of molecular sciences · 2025
    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

4 authors at 1 institution in 1 country.

Meixiao ShenDepartment of Hematology, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, China.
Juan WangDepartment of Hematology, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, China.
Meiqing LeiDepartment of Hematology, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, China.
Zhiming WangDepartment of Hematology, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Methods: We scoured PubMed, Embase, and Web of Science for original papers exploring the intersection of Mucormycosis and Hematological Diseases (from 2000 to 2022). We scrutinized the overall mortality across three distinct periods, as well as differentiating between high-income and middle-income nations. We further evaluated the pooled mortality and the risk differential (RD) across several subgroups. Results: The overall mortality rate for hematology patients with mucormycosis was 61%, within a 95% confidence interval (CI) of 0.54-0.68. A significant observation was that mortality rates were somewhat lower in high-income countries compared to middle-income countries (0.60 versus 0.64, Conclusion: Despite the high mortality rates associated with mucormycosis in patients with hematological disorders, those receiving both medical and surgical interventions, as well as those with isolated infection sites, exhibited improved survival outcomes. Conversely, factors such as gender, the presence of breakthrough infection, the use of mucor-active drugs before mucor infection, and multi-drug administration did not significantly influence patient outcomes.

Indexed as

hematological patientsmeta-analysismortalitymucormycosisoutcome

Identifiers

PMID38098845
PMCPMC10720036
OpenAlexW4389203785

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.