How to Read: Cancer statistics [Reading Guide]
N. Dubrawsky · 1989 · Ca
Three-Pass Reading Method
The three-pass reading method is a systematic approach designed to efficiently extract maximum understanding from research papers. The first pass (5-10 minutes) gives you a high-level overview by skimming the title, abstract, introduction, and conclusion. The second pass (up to 1 hour) involves careful reading of the paper with emphasis on methodology and key technical details. The third pass (1-5 hours) focuses on deep understanding, critical analysis, and connecting ideas to related work.
This structured approach helps you determine a paper's relevance quickly, then dive deeper only when needed, making your research workflow more efficient and effective.
This guide will help you navigate "Cancer statistics, 1989" by Boring, Squires, and Tong, published in Ca, using a three-pass approach. This paper is a comprehensive statistical report, providing a snapshot of cancer incidence, mortality, and survival in the United States for the year 1989, along with historical trends.
First pass (5–10 min)
The goal of the first pass is to get a high-level overview of the paper's scope, main findings, and its overall contribution as a statistical report.
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What to skim in this paper:
- Title: "Cancer statistics, 1989" immediately tells you this is an annual statistical update, focusing on a specific year.
- Introduction (page 399): Read the first few paragraphs to understand the purpose of the report (to provide current data on cancer incidence, mortality, and survival) and the primary data sources (e.g., National Cancer Institute's SEER Program, National Center for Health Statistics, American Cancer Society estimates).
- Headings: Quickly scan all section headings (e.g., Incidence, Mortality, Survival, Trends, Prevention, Early Detection, Treatment, Rehabilitation, Research, Conclusion). This reveals the breadth of topics covered beyond just raw numbers.
- Conclusion (page 426): Read the concluding remarks to grasp the key takeaways and overarching messages about cancer control efforts in 1989.
- Figures and Tables: Briefly glance at the titles and captions of a few figures and tables (e.g., Table 1: Estimated New Cancer Cases and Deaths by Site, United States, 1989; Figure 1: Cancer Death Rates by Site, United States, 1930-1985). This will give you a sense of the types of data presented and the timeframes covered.
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What to notice:
- Contributions: This paper serves as a critical annual reference document, providing a comprehensive statistical baseline for cancer in the US in 1989. It highlights major trends and disparities.
- Problem: The ongoing public health challenge of cancer, necessitating current data to inform prevention, early detection, and treatment strategies.
- Setting: The data primarily pertains to the United States, with statistics compiled up to 1985 for trends and estimates for 1989.
Second pass (up to 1 hour)
Using SpatialRead in the Second Pass
- Use the Screenshot tool to capture figures, tables, diagrams, and formulae from the PDF and use AI for simple explanations.
- Ask: "Explain Figure X at a high level", "Compare Table 2 vs 3", or "What does the y-axis represent here?"
- Download SpatialRead →
In the second pass, you'll delve deeper into the core data and findings, understanding the main arguments and the evidence presented.
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What sections/figures to focus on:
- Introduction (page 399): Read carefully to understand the methodology for data collection and estimation, particularly the roles of the SEER Program and the American Cancer Society.
- Incidence (page 400) and Mortality (page 401): These sections are central. Focus on the narrative accompanying Table 1 (Estimated new cases and deaths for 1989), Figure 1 (Cancer death rates by site, 1930-1985), and Figure 2 (Cancer incidence rates by site, 1973-1985). Pay attention to the discussion of major cancer sites and differences between sexes.
- Survival (page 404): Read this section to understand improvements in survival rates. Examine Figure 4 (5-year survival rates for selected cancers, 1960-63 vs 1979-84) and Table 2 (5-year survival rates by race and stage for selected cancers, 1979-84) to identify which cancers showed significant progress and where disparities existed.
- Trends (page 408): This section synthesizes changes over time. Refer to Table 6 (Trends in age-adjusted cancer death rates, 1930-1985) and Table 7 (Trends in age-adjusted cancer incidence rates, 1973-1985) to understand long-term patterns and recent shifts.
- Prevention (page 412), Early Detection (page 416), Treatment (page 420), Rehabilitation (page 423), and Research (page 424): Skim these sections to understand the public health implications of the statistics and the ongoing efforts discussed in 1989. These sections provide context for the numbers.
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Key terms/questions to note:
- What is meant by "age-adjusted rates" and why are they used?
- What were the leading causes of cancer incidence and mortality in 1989?
- Which cancers showed the most significant improvements in 5-year survival?
- What were the major trends in cancer incidence and mortality between 1930 and 1985?
- What disparities existed in cancer burden and survival based on sex and race?
Third pass (1–5 hours)
Using SpatialRead in the Third Pass
- Highlight complex keywords, dense paragraphs, equations, or proofs and ask for a plain-English explanation that preserves notation.
- Use AI to explain the concepts in a way that is easy to understand.
- Ask for alternative phrasings or analogies to confirm understanding without changing technical meaning.
- Connect concepts with each other using AI to build a comprehensive understanding of the paper.
- Download SpatialRead →
The third pass involves a critical evaluation of the data, its sources, and the implications. This is where you connect the numbers to broader public health understanding.
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Deep reading guidance:
- Data Sources and Methodology (implicit): While there isn't a dedicated "Methods" section, carefully re-read the Introduction and the footnotes to all tables and figures. Understand the specific sources (e.g., NCI SEER, National Center for Health Statistics) and the time periods covered for different data points. Consider the limitations inherent in these data sources (e.g., population coverage, diagnostic accuracy in earlier decades, reliance on death certificates).
- Detailed Results Analysis: Go through each table and figure in detail.
- For Table 1, analyze the absolute burden of new cases and deaths for each cancer site.
- For Figures 1-3 and Tables 4-5, scrutinize the patterns of incidence and mortality by site, sex, and age. Look for specific increases (e.g., lung cancer in women) and decreases (e.g., stomach cancer).
- For Figure 4 and Tables 2-3, 8, analyze survival improvements and disparities by race and stage.
- For Tables 6-7, critically examine the trends over time, noting the specific periods of increase or decrease for various cancers.
- Limitations (implicit): Reflect on what data might be missing or what biases could exist. The report is US-centric. Consider how diagnostic and treatment advancements since 1989 would alter these statistics today. The report relies on existing registries and vital statistics, which have inherent limitations in completeness and accuracy.
- Discussion/Implications: The sections on Prevention, Early Detection, Treatment, Rehabilitation, and Research serve as the "discussion" of the findings. How do the statistics presented in the earlier sections inform the priorities and challenges outlined in these later sections? What were the key public health messages and calls to action in 1989 based on these statistics?
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Replication pointers:
- This paper is a descriptive statistical report, not an experimental study. Therefore, "replication" in the traditional sense isn't applicable.
- Instead, focus on verification and extension:
- Verification: Could you cross-reference the reported statistics with other contemporary (1989 or slightly earlier/later) public health reports or government data sources to confirm consistency?
- Extension: This paper provides a crucial historical baseline. How do these 1989 statistics compare to current "Cancer Statistics" reports (e.g., 2024)? What trends have continued, reversed, or emerged over the decades? This paper is invaluable for understanding the long-term trajectory of cancer control. Pay attention to the definitions used (e.g., 5-year relative survival) to ensure comparability with modern data.