Evidence map›Paper›PMID 36469519›Full record

SynthesisPloS one2022

Prognosis of older patients with newly diagnosed AML undergoing antileukemic therapy: A systematic review.

Qiukui Hao, Farid Foroutan, Mi Ah Han, Tahira Devji, Fernando Kenji Nampo, Sudipto Mukherjee, Shabbir M H Alibhai, Ashley Rosko, Mikkael A Sekeres, Gordon H Guyatt and 1 more

Open access · goldAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 16% 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

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. AML in the Elderly - When less may be more.Current oncology reports · 2024
    Review
  11. Article
  12. 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

11 authors at 7 institutions in 5 countries.

Qiukui HaoThe Center of Gerontology and Geriatrics (National Clinical Research Center for Geriatrics), West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0002-5160-5144
Farid ForoutanDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Mi Ah HanDepartment of Preventive Medicine, College of Medicine, Chosun University, Gwangju, Republic of Korea.
Tahira DevjiDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Fernando Kenji NampoLatin-American Institute of Life and Nature Sciences/Evidence-Based Public Health Research Group, Federal University of Latin-American Integration, Foz do Iguassu, Brazil.
Sudipto MukherjeeLeukemia Program, Cleveland Clinic, Cleveland, Ohio, United States of America.
Shabbir M H AlibhaiDepartment of Medicine, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Ashley RoskoDivision of Hematology, The Ohio State University, Columbus, Ohio, United States of America.
Mikkael A SekeresLeukemia Program, Cleveland Clinic, Cleveland, Ohio, United States of America.
Gordon H GuyattDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Romina Brignardello-PetersenDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Impact · CACleveland Clinic · USChosun University · KRSichuan University · CNThe Ohio State University · USUniversidade Federal da Integração Latino-Americana · BRUniversity Health Network · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe prognostic value of age and other non-hematological factors in predicting outcomes in older patients with newly diagnosed acute myeloid leukemia (AML) undergoing antileukemic therapy is not well understood. We performed a systematic review to determine the association between these factors and mortality and health-related quality of life or fatigue among these patients.

methodsWe searched Medline and Embase through October 2021 for studies in which researchers quantified the relationship between age, comorbidities, frailty, performance status, or functional status; and mortality and health-related quality of life or fatigue in older patients with AML receiving antileukemic therapy. We assessed the risk of bias of the included studies using the Quality in Prognostic Studies tool, conducted random-effects meta-analyses, and assessed the quality of the evidence using the Grading of Recommendations, Assessment, Development and Evaluation approach.

resultsWe included 90 studies. Meta-analysis showed that age (per 5-year increase, HR 1.16 95% CI 1.11-1.21, high-quality evidence), comorbidities (Hematopoietic Cell Transplantation-specific Comorbidity Index: 3+ VS less than 3, HR 1.60 95% CI 1.31-1.95, high-quality evidence), and performance status (Eastern Cooperative Oncology Group/ World Health Organization (ECOG/WHO): 2+ VS less than 2, HR 1.63 95% CI 1.43-1.86, high-quality evidence; ECOG/WHO: 3+ VS less than 3, HR 2.00 95% CI 1.52-2.63, moderate-quality evidence) were associated with long-term mortality. These studies provided inconsistent and non-informative results on short-term mortality (within 90 days) and quality of life.

conclusionHigh-quality or moderate-quality evidence support that age, comorbidities, performance status predicts the long-term prognosis of older patients with AML undergoing antileukemic treatment.

Indexed as

Antineoplastic AgentsLeukemia, Myeloid, AcuteAgedFatigueHumansPrognosisQuality of LifeAntineoplastic Agents

Identifiers

PMID36469519
PMCPMC9721486
OpenAlexW4311286231

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.