Evidence map›Paper›PMID 36264841›Full record

SynthesisPLoS medicine2022

The patient, diagnostic, and treatment intervals in adult patients with cancer from high- and lower-income countries: A systematic review and meta-analysis.

Dafina Petrova, Zuzana Špacírová, Nicolás Francisco Fernández-Martínez, Ana Ching-López, Dunia Garrido, Miguel Rodríguez-Barranco, Marina Pollán, Daniel Redondo-Sánchez, Carolina Espina, Camila Higueras-Callejón and 1 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PLoS medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
4.2field-weighted citation impact, top 4% 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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Risk of cancer following presentation with new-onset atrial fibrillation using data from UK national databases.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
    Article
  18. Article
  19. Article
  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

11 authors at 5 institutions in 2 countries.

Dafina PetrovaInstituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain.ORCID 0000-0002-0346-6776
Zuzana ŠpacírováInstituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain.ORCID 0000-0002-2905-2934
Nicolás Francisco Fernández-MartínezInstituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain.ORCID 0000-0001-8257-4304
Ana Ching-LópezInstituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain.ORCID 0000-0001-8266-430X
Dunia GarridoDepartment of Developmental and Educational Psychology, University of Granada, Granada, Spain.ORCID 0000-0001-9603-961X
Miguel Rodríguez-BarrancoInstituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain.ORCID 0000-0002-9972-9779
Marina PollánCIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.ORCID 0000-0002-4328-1565
Daniel Redondo-SánchezInstituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain.ORCID 0000-0001-9986-915X
Carolina EspinaInternational Agency for Research on Cancer (IARC/WHO), Lyon, France.ORCID 0000-0001-6848-4687
Camila Higueras-CallejónEscuela Andaluza de Salud Pública (EASP), Granada, Spain.ORCID 0000-0003-4508-2129
Maria José SánchezInstituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain.ORCID 0000-0003-4817-0757
Instituto de Investigación Biosanitaria de Granada · ESUniversidad de Granada · ESAndalusian School of Public Health · ESCentre international de recherche sur le cancer · FRInstituto de Salud Carlos III · ES

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundLonger time intervals to diagnosis and treatment are associated with worse survival for various types of cancer. The patient, diagnostic, and treatment intervals are considered core indicators for early diagnosis and treatment. This review estimated the median duration of these intervals for various types of cancer and compared it across high- and lower-income countries. METHODS AND

findingsWe conducted a systematic review with meta-analysis (prospectively registered protocol CRD42020200752). Three databases (MEDLINE, Embase, and Web of Science) and information sources including grey literature (Google Scholar, OpenGrey, EThOS, ProQuest Dissertations & Theses) were searched. Eligible articles were published during 2009 to 2022 and reported the duration of the following intervals in adult patients diagnosed with primary symptomatic cancer: patient interval (from the onset of symptoms to first presentation to a healthcare professional), diagnostic interval (from first presentation to diagnosis), and treatment interval (from diagnosis to treatment start). Interval duration was recorded in days and study medians were combined in a pooled estimate with 95% confidence intervals (CIs). The methodological quality of studies was assessed using the Aarhus checklist. A total of 410 articles representing 68 countries and reporting on 5,537,594 patients were included. The majority of articles reported data from high-income countries (n = 294, 72%), with 116 (28%) reporting data from lower-income countries. Pooled meta-analytic estimates were possible for 38 types of cancer. The majority of studies were conducted on patients with breast, lung, colorectal, and head and neck cancer. In studies from high-income countries, pooled median patient intervals generally did not exceed a month for most cancers. However, in studies from lower-income countries, patient intervals were consistently 1.5 to 4 times longer for almost all cancer sites. The majority of data on the diagnostic and treatment intervals came from high-income countries. Across both high- and lower-income countries, the longest diagnostic intervals were observed for hematological (71 days [95% CI 52 to 85], e.g., myelomas (83 days [47 to 145])), genitourinary (58 days [50 to 77], e.g., prostate (85 days [57 to 112])), and digestive/gastrointestinal (57 days [45 to 67], e.g., colorectal (63 days [48 to 78])) cancers. Similarly, the longest treatment intervals were observed for genitourinary (57 days [45 to 66], e.g., prostate (75 days [61 to 87])) and gynecological (46 days [38 to 54], e.g., cervical (69 days [45 to 108]) cancers. In studies from high-income countries, the implementation of cancer-directed policies was associated with shorter patient and diagnostic intervals for several cancers. This review included a large number of studies conducted worldwide but is limited by survivor bias and the inherent complexity and many possible biases in the measurement of time points and intervals in the cancer treatment pathway. In addition, the subintervals that compose the diagnostic interval (e.g., primary care interval, referral to diagnosis interval) were not considered.

conclusionsThese results identify the cancers where diagnosis and treatment initiation may take the longest and reveal the extent of global disparities in early diagnosis and treatment. Efforts should be made to reduce help-seeking times for cancer symptoms in lower-income countries. Estimates for the diagnostic and treatment intervals came mostly from high-income countries that have powerful health information systems in place to record such information.

Indexed as

Colorectal NeoplasmsMultiple MyelomaAdultHealth PersonnelHumansIncomeMaleReferral and Consultation

Identifiers

PMID36264841
PMCPMC9584443
OpenAlexW4306901946

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.