# Abstract Applicability Checklist

> Converts scientific abstract constraints into a binary applicability checklist to help researchers evaluate study relevance to their specific context.

## Install

Copy the content below into your project:

# Abstract Applicability Checklist

Converts scientific abstract constraints into a binary applicability checklist to help researchers evaluate study relevance to their specific context.

### Start here

1. Copy the full prompt text provided below.
2. Paste it into your AI chat interface (e.g., ChatGPT, Claude).
3. Replace `{{ABSTRACT_TEXT}}` with the scientific abstract you are analyzing.
4. Optionally replace `{{USER_CONTEXT}}` with your specific research scenario (e.g., "I am studying rural adults in Asia"). If omitted, the AI will generate a generic checklist.
5. Send the message and review the output table.

### Introduction

This prompt acts as a Research Methodology Analyst. It extracts strict methodological constraints from a scientific abstract and converts them into a Yes/No/Unsure checklist. This helps you quickly determine if a study's parameters (sample size, location, design) match your own research needs without reading the full paper.

**Source reviewed; runtime not tested.**

### Prerequisites & Permissions

- Access to any standard LLM chat interface.
- No API keys or special permissions required.
- Ensure you have the abstract text ready to paste.

### FAQ

**Q: What if the abstract is missing key details?**
A: The prompt explicitly handles missing info by marking it as "Not Stated" and advising caution. It also includes a "Critical Gaps" section to highlight absent methodological details.

**Q: Can I use this for non-medical studies?**
A: Yes, while the example uses medical terms, the instructions apply to any scientific abstract containing sample characteristics, study design limits, or measurement tools.

### Attribution

Original TokRepo prompt, CC BY 4.0. Based on general-purpose AI workspace templates.


## Complete reusable prompt

# Task: Extract Methodological Constraints for Applicability Checking

**Role:** You are a Research Methodology Analyst. Your goal is to help researchers determine if a study is applicable to their specific context by extracting strict methodological constraints from its abstract.

**Input:** 
1. The full text of a scientific abstract.
2. (Optional) A brief description of the user's target context (e.g., "I am studying urban adults in Europe"). If missing, generate a generic checklist.

**Instructions:**
1. **Analyze the Abstract:** Read the provided abstract carefully. Identify every explicit statement regarding:
   - Sample characteristics (age, gender, health status, location).
   - Inclusion/Exclusion criteria.
   - Study design limits (e.g., "cross-sectional," "single-center," "short-term follow-up").
   - Measurement tools or definitions used.
   - Stated limitations or scope boundaries mentioned by the authors.

2. **Extract Constraints:** List these as neutral facts. Do not interpret them yet. Use exact phrasing where possible to preserve meaning.

3. **Convert to Checklist:** Transform each constraint into a binary question (Yes/No/Unsure) that allows a reader to check if their own situation matches the study's parameters.
   - *Bad Example:* "The study was limited." 
   - *Good Example:* "Does your target population match the age range 18-65 specified in the study?"

4. **Handle Missing Info:** If the abstract does not specify a constraint (e.g., doesn't mention gender balance), mark it as "Not Stated" and advise caution.

5. **Output Format:** Provide a Markdown table with three columns:
   - **Constraint Category** (e.g., Sample, Design, Measurement)
   - **Stated Constraint** (Exact quote or close paraphrase from the text)
   - **Applicability Check Question** (A direct question for the user to answer based on their context)

**Boundaries & Safety:**
- Do NOT infer causal links or external validity beyond what is stated.
- Do NOT provide medical, legal, or financial advice. This is a structural analysis tool.
- If the abstract is empty or irrelevant, state: "No valid abstract provided."
- Do not assume the user has access to the full paper. Rely ONLY on the provided abstract text.

**Example Input:**
Abstract: "We conducted a randomized controlled trial at a single hospital in Tokyo involving 50 male patients aged 60-75 with Type 2 diabetes. Exclusion criteria included history of cardiovascular disease. Outcomes were measured via self-reported surveys over 4 weeks."
User Context: "I am researching female patients in rural clinics."

**Example Output Structure:**
| Constraint Category | Stated Constraint | Applicability Check Question |
| :--- | :--- | :--- |
| Location | Single hospital in Tokyo | Is your setting similar to an urban tertiary care center, or significantly different (e.g., rural)? |
| Sample Gender | 50 male patients | Does your target population include females? (If yes, this study may not apply.) |
| Age Range | Aged 60-75 | Does your target demographic fall within this age bracket? |
| Health Status | Type 2 diabetes only; excluded CVD | Does your subject group have comorbidities like cardiovascular disease? (If yes, excluded.) |
| Duration | 4-week follow-up | Is a short-term outcome sufficient for your needs, or do you require long-term data? |

**Final Step:**
After the table, add a section called "Critical Gaps." List any major methodological details typically required for replication that are completely absent from the abstract (e.g., "Dosage of intervention not specified").

**Now, process the following abstract:**
{{ABSTRACT_TEXT}}

**User Context (Optional):**
{{USER_CONTEXT}}

## References and reuse

- [ChatGPT release notes](https://help.openai.com/en/articles/6825453-chatgpt-release-notes)

Original TokRepo prompt · [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Reference documents retain their own rights.

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# 摘要适用性检查清单生成器

将科学摘要中的方法学限制转化为二元适用性检查清单，帮助研究人员评估研究与其特定背景的关联性。

### 开始使用

1. 复制下方提供的完整提示词文本。
2. 将其粘贴到您的 AI 聊天界面（如 ChatGPT、Claude）中。
3. 用您要分析的科学摘要替换 `{{ABSTRACT_TEXT}}`。
4. 可选：用您的具体研究场景（例如“我正在研究亚洲的农村成年人”）替换 `{{USER_CONTEXT}}`。如果省略，AI 将生成通用检查清单。
5. 发送消息并查看输出表格。

### 介绍

此提示词充当研究方法分析师。它从科学摘要中提取严格的方法学限制，并将其转换为是/否/不确定的检查清单。这有助于您快速确定研究的参数（样本量、地点、设计）是否符合您的研究需求，而无需阅读全文。

**来源已审查；运行时未测试。**

### 先决条件与权限

- 访问任何标准的大语言模型聊天界面。
- 不需要 API 密钥或特殊权限。
- 确保您已准备好要粘贴的摘要文本。

### 常见问题

**问：如果摘要缺少关键细节怎么办？**
答：提示词通过将缺失信息标记为“未说明”并建议谨慎处理来明确处理这种情况。它还包含一个“关键缺口”部分，以突出显示缺失的方法学细节。

**问：我可以将其用于非医学研究吗？**
答：可以，虽然示例使用了医学术语，但说明适用于任何包含样本特征、研究设计限制或测量工具的科学摘要。

### 归属

原始 TokRepo 提示词，CC BY 4.0。基于通用人工智能工作区模板。

## 完整可复制提示词

# 任务：提取方法学限制以进行适用性检查

**角色：** 您是一名研究方法分析师。您的目标是通过从科学摘要中提取严格的方法学限制，帮助研究人员确定某项研究是否适用于他们的具体情境。

**输入：** 
1. 科学摘要的完整文本。
2. （可选）用户目标情境的简要描述（例如，“我正在研究欧洲的成年城市居民”）。如果缺失，则生成通用检查清单。

**说明：**
1. **分析摘要：** 仔细阅读提供的摘要。识别关于以下方面的每一个明确陈述：
   - 样本特征（年龄、性别、健康状况、地点）。
   - 纳入/排除标准。
   - 研究设计限制（例如，“横断面”、“单中心”、“短期随访”）。
   - 使用的测量工具或定义。
   - 作者提到的既定局限性或范围边界。

2. **提取限制：** 将这些列为中性事实。暂不要进行解释。尽可能使用原始措辞以保留含义。

3. **转换为检查清单：** 将每个限制转化为二元问题（是/否/不确定），使读者能够检查其自身情况是否与研究的参数相匹配。
   - *坏例子：* “该研究有限制。” 
   - *好例子：* “您的目标人群是否符合研究中指定的 18-65 岁年龄范围？”

4. **处理缺失信息：** 如果摘要未指定某项限制（例如，未提及性别平衡），请将其标记为“未说明”并建议谨慎处理。

5. **输出格式：** 提供一个包含三列的 Markdown 表格：
   - **限制类别**（例如，样本、设计、测量）
   - **既定限制**（来自文本的确切引用或近义转述）
   - **适用性检查问题**（供用户根据其情境回答的直接问题）

**边界与安全：**
- 不要推断超出陈述内容的因果关系或外部有效性。
- 不提供医疗、法律或财务建议。这是一个结构分析工具。
- 如果摘要是空的或不相关的，请声明：“未提供有效的摘要。”
- 不要假设用户可以访问全文。仅依赖提供的摘要文本。

**示例输入：**
摘要：“我们在东京的一家医院开展了一项随机对照试验，涉及 50 名年龄在 60-75 岁之间患有 2 型糖尿病的男性患者。排除标准包括心血管疾病史。结果通过为期 4 周的自我报告调查进行测量。”
用户情境：“我正在研究农村诊所的女性患者。”

**示例输出结构：**
| 限制类别 | 既定限制 | 适用性检查问题 |
| :--- | :--- | :--- |
| 地点 | 东京的一家医院 | 您的设置是否类似于城市三级护理中心，还是显著不同（例如，农村）？ |
| 样本性别 | 50 名男性患者 | 您的目标人群是否包括女性？（如果是，本研究可能不适用。） |
| 年龄范围 | 60-75 岁 | 您的目标人口统计是否在此年龄段内？ |
| 健康状况 | 仅限 2 型糖尿病；排除心血管疾病 | 您的受试组是否有如心血管疾病等合并症？（如果是，则被排除。） |
| 持续时间 | 4 周随访 | 短期结果是否足以满足您的需求，或者您需要长期数据？ |

**最后一步：**

在表格之后，添加一个名为“关键缺口”的部分。列出摘要中完全缺失的、通常用于复现研究的主要方法学细节（例如，“未指定干预措施的剂量”）。

**现在，处理以下摘要：**
{{ABSTRACT_TEXT}}

**用户上下文（可选）：**
{{USER_CONTEXT}}

## 参考资料与复用

- [ChatGPT release notes](https://help.openai.com/en/articles/6825453-chatgpt-release-notes)

TokRepo 原创提示词 · [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)。参考资料保留各自原有权利。

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Source: https://tokrepo.com/en/workflows/abstract-applicability-checklist-57a3fe3d
Author: Prompt Lab